
Citation: Anastasios A. Mirisis, Anamaria Alexandrescu, Thomas J. Carew, Ashley M. Kopec. The Contribution of Spatial and Temporal Molecular Networks in the Induction of Long-term Memory and Its Underlying Synaptic Plasticity[J]. AIMS Neuroscience, 2016, 3(3): 356-384. doi: 10.3934/Neuroscience.2016.3.356
[1] | Miyuki Koiso . Stable anisotropic capillary hypersurfaces in a wedge. Mathematics in Engineering, 2023, 5(2): 1-22. doi: 10.3934/mine.2023029 |
[2] | Daniela De Silva, Ovidiu Savin . Uniform density estimates and Γ-convergence for the Alt-Phillips functional of negative powers. Mathematics in Engineering, 2023, 5(5): 1-27. doi: 10.3934/mine.2023086 |
[3] | Ko-Shin Chen, Cyrill Muratov, Xiaodong Yan . Layered solutions for a nonlocal Ginzburg-Landau model with periodic modulation. Mathematics in Engineering, 2023, 5(5): 1-52. doi: 10.3934/mine.2023090 |
[4] | Giovanni Di Fratta, Alberto Fiorenza, Valeriy Slastikov . On symmetry of energy minimizing harmonic-type maps on cylindrical surfaces. Mathematics in Engineering, 2023, 5(3): 1-38. doi: 10.3934/mine.2023056 |
[5] | Fausto Ferrari, Nicolò Forcillo . A new glance to the Alt-Caffarelli-Friedman monotonicity formula. Mathematics in Engineering, 2020, 2(4): 657-679. doi: 10.3934/mine.2020030 |
[6] | Manuel Friedrich . Griffith energies as small strain limit of nonlinear models for nonsimple brittle materials. Mathematics in Engineering, 2020, 2(1): 75-100. doi: 10.3934/mine.2020005 |
[7] | Morteza Fotouhi, Andreas Minne, Henrik Shahgholian, Georg S. Weiss . Remarks on the decay/growth rate of solutions to elliptic free boundary problems of obstacle type. Mathematics in Engineering, 2020, 2(4): 698-708. doi: 10.3934/mine.2020032 |
[8] | Paolo Maria Mariano, Domenico Mucci . Equilibrium of thin shells under large strains without through-the-thickness shear and self-penetration of matter. Mathematics in Engineering, 2023, 5(6): 1-21. doi: 10.3934/mine.2023092 |
[9] | Giacomo Canevari, Arghir Zarnescu . Polydispersity and surface energy strength in nematic colloids. Mathematics in Engineering, 2020, 2(2): 290-312. doi: 10.3934/mine.2020015 |
[10] | Filippo Gazzola, Gianmarco Sperone . Remarks on radial symmetry and monotonicity for solutions of semilinear higher order elliptic equations. Mathematics in Engineering, 2022, 4(5): 1-24. doi: 10.3934/mine.2022040 |
Composite materials are accessible in many engineering fields like aerospace, automobiles, civil structures, etc., due to their high strength to density and stiffness to density ratios. But nowadays, composite materials being the primary load-carrying member of any structure is expected to have additional functionality along with its primary services. These other functions enable the composite structure to sense and to provide actuation to the system under consideration and control the same. The conventional composite materials can refine their properties and be smart by joining in hand with adaptive, and smart materials. The most common smart materials are piezoelectric and electrostrictive materials, shape memory alloys, magnetostrictive materials, electro and magnetorheological fluids, fibre optics etc. When these smart materials are bonded or embedded in composite materials, the performance and capabilities of the conventional composites are improved and acquire some additional functionality to its primary (usually structural) purpose. Smart materials can respond to changes in stress, strain, displacement, velocity, acceleration, electrical, thermal or other mechanical change of a structure through changes in their properties in a controlled manner to maintain desirable and satisfactory performance.
Among these smart materials, piezoelectric ceramics as sensors and actuators exhibit unique and superior characteristics over the others which are suitable for applications like noise and vibration, shape and position control, non-destructive testing, energy harvesting and health monitoring systems. The fields of applications of piezoelectric thermoset composites (PTCs) ranges from, aerospace industry to micro and nano-electromechanical sensors and actuators. So, piezoelectric ceramics, act both as sensors and actuators in PTCs. This paper also reviews piezoelectric ceramics and its applications in biomedical, aerospace, automotive, sport and machine tool industries, aviation, civil structures etc., due to their lightweight, self- monitoring and self-controlling capability.
Piezoelectric ceramics and piezo polymers are active materials which possess the ability to alter the geometric to material properties under the application of various external stimuli, thereby acquiring an inherent capacity to transduce energy [1,2]. In short, in piezoelectric elements generates piezoelectric and the inverse piezoelectric effects. That is, the generation of electric charge upon piezoelectric material is deformation and development material deformation upon application of electric charge. The dipole re-orientation of piezoelectric material by an external electric field is shown in Figure 1.
Though the most common piezoelectric ceramics are Lead zirconate titanate (PZT), Lead magnesium niobate (PMN), Lead meta niobate (LMN) and Lead titanate (LT), PZT’s have been the most widely employed. The most commonly used piezo-polymer is Polyvinylidene fluoride (PVDF) even though other piezo-polymers like Polyvinylidene trifluoroethylene P(VDFTrFe), polyvinylidene fluoride tetrafluoroethylene and their copolymers exist [3]. Various piezoelectric materials and their strain capabilities are specified in Table 1.
Piezoelectric material | Density (g/cm3) | Piezoelectric (strain) constant d33 (m/v) | Electro-mechanical coupling coefficient k33 | Refs. |
PZT | 7.80 | 4.50 × 10−10 | 0.66 | [4,5] |
PVDF | 1.78 | 4.00 × 10−10 | 0.12 | [6] |
PMN-PT | 7.70 | 3.57 × 10−10 | 0.94 | [6,7] |
LMN | 6.30 | 0.77 × 10−10 | 0.42 | [8] |
Combining the chemical compound titanate with lead and zirconium under very high temperature result in the formation of PZT. Superior material characteristics like high dielectric constant, high coupling coefficient and high density along with fine grain structure and noise-free response make PZT highly employable inflow or level sensors, ultrasonic non-destructive testing, generation of high-voltage energy in ultrasonic cleaners, sonar devices, etc. In addition to this, higher mechanical quality and more economical operation increase its demand among other piezoelectric materials [4,5,6,7].
The PZT samples(a PbTiO3 and PbZrO3 mixture) exhibits high values of electro-mechanical coupling factor and energy conversion effectiveness coefficient depending on the composition [8]. Electro-mechanical coupling factor, kp, is an indicator of the energy conversion effectiveness and piezoelectric charge constant. d, is the mechanical strain experienced by a piezoelectric material per unit of the electric field applied. The high values of kp and d in PZTs make it highly acceptable than the other piezoelectric ceramics. This PZT system embedded over polymer composites were studied by several investigators [9,10,11,12,13,14].
PMN-PTs which finds its application as actuators demonstrate large electrostriction strains [15]. These materials exhibit outstanding piezoelectric properties (e.g., d33 = 357 × 10−12 m/v, k33 = 0.94) and it has other specific advantages such as negligible hysteresis, lower creep and lack of high voltage that considerably outdoes PZT ceramics [16,17] but exhibits inferior piezoelectric performance. PMN-PTs finds its application as actuators in the area of biomedical for endoscopy [18] and as hearing aid [19]. PMN-PTs are challenging to manufacture and lead titanate ceramics in bulk form undergo a phase transformation, and this limits its application [20].
In pure form, LMNs exhibits the most substantial piezoelectric anisotropy [21] but are of limited efficacy practically because of the difficulty in manufacturing. This piezoelectric phase experiences severe cracking while production [22]. Numerous studies had done to fix this issue by introducing various additions but had limited success, leading to a sharp decrease in anisotropy [23]. Due to this drawback, practical applications of LMNs are limited.
PVDF is the most common piezoelectric polymers used as sensors and actuators. PVDF polymer is soft and flexible and therefore can be attached easily on to the curved surfaces. Further, PVDF is chemically inert, robust, creep resistant, and has excellent stability when exposed to sunlight [24,25,26]. Also, it has a low density along with low dielectric permittivity resulting in a very high voltage coefficient [27,28].
But low d33 and dh values and little dielectric constant inherent in PVDF have limited its use. In addition to this, the poling the PVDF film is a touch difficult due to the requirement of the high electric field. Despite their high dielectric breakdown values, the low piezoelectric voltage constant makes them inapt for energy harvesting applications [27].
Embedding piezoelectric materials in composites depend on the required properties of smart composite structures. Several factors such as type and dimensions of piezoelectric material, its position, its compatibility with the composites, etc. play a vital role in choosing and embedding the right kind of piezoelectric materials for composites.
Even though the excellent properties of PZT have widens its area of applications, its unfortunate mechanical strength act as a limiting factor for their life cycle and performance. Also, the brittleness, inflexibility and high densities of the piezoelectric ceramics lead to considerable acoustic resistance which necessitates the need for matching layers [28]. Piezoceramic materials also add additional mass and stiffness to the host structure, especially when working with flexible and lightweight materials. In such a status quo, fibre-reinforced polymer composites can be used as a matching layer for piezoelectric materials which improves the load-bearing capacity of the piezoceramics along with retaining all the qualities of conventional ceramics (electrical, mechanical, chemical). Coupling piezoceramics and polymer composites mitigate the weight and brittleness issues of piezoceramics. Besides, this enhances the overall mechanical properties and strength of the composite [29].
Therefore, interest in polymer-ceramic [30,31,32,33,34] composites have emerged as an area of interest [35,36]. These composites can be polarized under the influence of an external electric field [37]. Piezoelectric ceramic/polymer composites possessing numerous association outlines had been explored in several studies during the past several years [38,39]. The relationship between the number of Web of Science-indexed publications under the area of piezoelectric ceramics over the last few year groups, is shown in Figure 2. The surge in the number of articles portrays the relevance of the field and the developments occurring in this area. In the present review, the focus is mainly oriented towards the work done in polymer composites due to its better strength and stiffness properties. The strength and stiffness properties within the plane of polymer composites can be controlled more precisely.
The main approaches in smart composites can be classified as analytical, numerical and experimental. For the proper characterization of composite materials and their interfaces, the use of multiple analytical techniques is required. Analysis of composite materials can be quite complex, and composite material analysis laboratories need correct analysis tools to characterize and resolve many of the problems of composite materials.
An extensive review of different analysis approaches, namely, analytical approach, finite element approach and experimental approach on piezoelectric thermoset composites are depicted in this paper.
Smart composites can be investigated using mathematical models when largescale experimental studies are expensive and challenging to conduct. Geometrically imperfect piezo-magnetic nanobeams were analyzed in [40,41] to investigate the thermal post-buckling behaviour. In that work, the nanobeams were considered as functions of piezoelectric phase percentage and reported that the increase in phase percentage had increased the applied voltage sensitivity meanwhile increase in nonlocal parameters resulted in lowering the post-buckling temperatures. Ganesh et al. [42] had analyzed a delaminated composite plate with active fibre composite under hygrothermal environment. They have also considered the effect of moisture and temperature and observed that the natural frequencies were reduced due to delamination. A complete dynamic analysis and significant coefficients were extracted from reinforced piezo-magneto-thermo-elastic plates by Hadjiloizi et al. [43] for a set of unit cell problem. According to them, the significant coefficients were not a constant but a function of time. A mathematical model of a piezoelectric sensor was developed by Asif et al. [44], to study the debonding effect and verified that the developed model could recover the presence and extent of partial debonding between the composite laminate and the piezo sensor.
The static, free vibration, dynamic control and transient characteristics of piezoelectric laminated composite plates were analyzed in [45,46,47]. And a novel solution for finding twisting deformation and optimal shape control of smart laminated composites plates was developed by Soheil et al. [48]. From the study, it was observed that the laminate stiffness could distress the twisting bending coupling developed by the inclined piezoelectric actuators. The major works using analytical approaches for piezoelectric polymer composite is shown in Table 2.
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | Extensional Hamilton’s principle and improved layer theory | Degrading performanceof the partially debonded sensor | [15] |
Piezo-magneto nanobeam | Hamiltons principle | Thermal post-buckling | [41] | |
Graphite epoxy | A.F.C. layer | Potential energy approach | Parametric study | [42] |
Wafer reinforced magnetoelectric plate magnetoelectric shell with honeycomb filler | Maxwell’s equation | Significant coefficients and dependent field variable | [43] | |
Elastic layer | Piezoelectric + Piezomagnetic layer | Maxwell’s equation | Mechanical and electrical properties | [44] |
Graphite epoxy | PFRC actuator | Navier’s method and Principle of virtual work | Transient characteristics | [45] |
Graphite epoxy | PZT + PVDF | Classical variational formulation | Static and dynamic vibration control | [46] |
GFRP | Kirchoff’s hypothesis | Twisting deformation | [47] | |
Graphite epoxy | CFRP | Higher-order shear deformation kinematics | Flexural behaviour | [48] |
Among the various approaches available, the finite element approach is the useful preliminary tool to analyze the effect of multiple parameters on PTCs. Several studies enumerating the static, dynamic, linear, non-linear parametric analysis using the finite element approach were cited by many researchers [15,45,48,49,50,51,52,53,54,55]. While the integrity limit and failure behaviour of piezoelectric sensor embedded fibreglass composite was studied by Lampani et al. [56], the degree of polarisation and piezoelectric characteristics of PVDF integrated kevlar-carbon fibre composite was investigated by Michael et al. [57]. The optimal shape control and twisting deformations of PTCs were investigated by Soheil et al. [48] and concluded that the usage of inclined piezoelectric actuators could suspend the pure twisting deformation. Mehrdad et al. [58] had modelled an active composite strut and an active composite panel to find out the optimum voltage for vibration suppression was modelled by Dutta et al. [59]. The primary studies with finite element methods for piezoelectric polymer composite are summarised in Table 3.
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | FEM (Extended Hamilton’s principle and improvedlayer theory) | Dynamic characteristics | [15] |
Graphite epoxy | PZT + PVDF | FEM | Static and dynamicvibration control | [46] |
GFRP | KYNAP | FEM-Abaqus (Kirchoff’s law) | Twisting deformation and optimal shape control | [47] |
Graphite epoxy and CFRP | Trefnol-D + PZT-4 | FEM-Ansys (Higher-order shear deformation kinematics) | Flexural behaviour | [48] |
CFRC | PZT | XFEM-Abaqus (Galerkin’s method) | Tensile and in-planeshear properties | [49] |
Aluminium boronfibre | Piezoelectric + Piezomagnetic layer | FEM-Ansys (Classical laminate theory and Viscoplastic theory) | Mechanical properties and non-linear responses | [50] |
Graphite epoxy | PZT | FEM (Variational principle) | Material nonlinearity | [51] |
Graphite epoxy and glass epoxy | PZT | FEM-Ansys | Vibration | [52] |
Graphite epoxy | Trefnol-D | F.E.M. (Third order shear deformation theory | Non-linear static behaviour | [53] |
Graphite epoxy | PZT-4 | FEM (Virtual work principle) | Static parameters | [54] |
Graphite epoxy | PZT-5A | FEM (Maxwell’s equation) | Static- nonlinear | [55] |
Fibreglass | PZT | FEM (Strength-based approach) | Damage | [56] |
Kevlar carbon fibre | PVDF | FEM-Ansys (Dunn and Tayamicromechanical approach) | Degree of polarizationand mechanical and piezoelectric characteristics | [56] |
Composite strut andcomposite panel | PZT-5A | FEM | Optimum voltage | [58] |
Various experimental studies in the field of piezoelectric composites are included in this section for a better understanding of the influence of multiple static and dynamic parameters of composites and to validate various finite element and analytical models. The tensile, in-plane shear and bending properties of PZT piezoelectric embedded carbon fibre reinforced composite was studied by Swati et al. [49] for analyzing progressive damage. The mechanisms of damages are explored by Lampani et al. [56] with the help of the four-point bending test of fibreglass composite embedded with PZT piezo element. Tao et al. [60] had done an investigation to improve the load-bearing capacity of PZT/PVDF composites and concluded that the addition of aramid fibre could cause a substantial improvement in the same. The relevant research works using experimental approaches for piezoelectric polymer composite is included in Table 4.
Composite material | Piezoelectric material | Properties | Refs. |
CFRC | PZT | Mechanical properties (Electronic Universal Testing Machine) | [49] |
Fibreglass | PZT | Mechanical and electrical capacity (4-point bending test setup) | [56] |
Aramid | PZT + PVDF | Mechanical and electrical properties | [60] |
Piezoelectric embedded composites become acceptable only if its structural integrity is promised. The reinforcing fibres should be disturbed minimum, and mechanical properties of the composite should not be reduced [60]. Piezoelectric composites find its applications in various fields of engineering.
Ariel et al. [61] had used flexible solar cells into the compliant wings of a Robotic bird (Flapping Wing Ariel Vehicles, FWAVs). FWAVs are comprised of a carbon fibre -mylar composite. Various wing designs have been suggested by integrating a diverse number of solar cells in different positions on Robotic bird. Integration of solar cell has increased the stiffness of the wings, and the deformation produced during flapping generates aerodynamic forces for the flight. Also, the use of solar cells increases the payload capacity by electrical energy harvesting. Thus the addition of solar cells makes the wings multifunctional by allowing it to produce electrical power, senses the changes in wing deformation and to harvest solar energy during flight. This advanced technology is used in aerospace and its applictions have been explained in [62].
Another central area where PTCs find its application is in the advancement of morphing aircraft wings and its review was done by Thill et al. [63]. The study reveals that the composites and polymers with structural flexibility and elastomers with a low cross-link density were considered for morphing since they can undergo sizeable elastic deformation without permanent changes. Integrated composites with SMA wires and Fibre Bragg Grating (FBG) were also considered and were sed as self-actuating structures. Even though the study discloses the difficulty to combine the properties like flexibility and stiffness to one design, it highlights the aerodynamic performance and operational benefits of morphing technology and the possibilities of PTCs in morphing technology.
A piezoelectric composite actuator was designed and validated by Mudupu et al. [64] for a smart projectile fin. The piezo-fibres, embedded within the epoxy matrix and coated with skin, were used to design a fuzzy logic controller for the fin. The study presented the robustness of design to overcome various disturbances and subsonic wind velocities. Another application of integrating electronic communication antenna into a composite structure was detailed in [65,66,67,68]. The design and fabrication of a microchip antenna over a three dimensional orthogonal woven composite structure [69], its impact testing [70] and damage analysis of the composite [71] had been recently developed in the field of aerospace.
The application of polymer composites with graphene-silver hybrid nanoparticles in the biomedical field was presented by Kumar et al. [72]. The uniform distribution of the nanoparticles helps better exfoliation and dispersion of the nanofiller in the polymer composite matrix. It also improves the storage modulus and enhances electrical conductivity.
The applications of luminescent ions- in the composite matrix and other advanced composite materials were reviewed by Bai et al. [73]. Luminescent ion coupled composites have additional optical and electrical properties, and hence they find its application in sustainable energy devices for solar light harvesting. Also, their better optical properties have been exploited for diagnosis, nano-composite biosensors and medical treatment in the biomedical field.
Biranche et al. [74] had reviewed the critical characteristics and fabrication routines of piezoelectric materials, including piezoelectric ceramics, piezoelectric polymers and piezoelectric composites from the perspective of bone tissue engineering. The relatively high piezoelectric properties of ceramics combined with bioactive filers enhances the potential of ceramic matrix composites as bone tissue engineering material. But the major limitation of thesis the absence of mechanical simulation control.
Vaidya et al. [75] had developed a woven E-glass with vertical piles model which enhances the impact resistance and vibration damping. A 3D space available configuration of sandwich material is used in form filling, which has increased the strength of the laminate and the impact load-carrying capacity. Experimental analysis for the active vibration control of E-glass/epoxy laminated composites using piezoelectric ceramic patches was done by Song et al. [76] an analytical study of the same combination was done by Bohua et al. [77]. Thierry et al. [78] had conducted a vibration reduction study to increase the lifespan and avoid the fluttering in the composite fan blades of a turbojet engine using piezoelectric devices.
Structural health monitoring of cement-based composites with embedded piezoelectric ceramic had been studied by Biqin et al. [79]. A novel cement-based piezoelectric sensor to the in-situ stress-time history monitoring of a reinforced concrete frame has been developed, and the results revealed the feasibility and applicability of the same in the concrete structures. Vibration analysis on the impact response of multi-layered cement-based piezoelectric composite was done by Taotao et al. [80].
The application of damage detection in smart panels composites had been illustrated by Phong et al. [81]. In the study, a non-linear vibro-acoustic wave modulation technique was used for the damage analysis of carbon/epoxy smart composite panels. The research includes the stationary statistical characteristics of vibroacoustic responses. A theoretical model of carbon nanotube reinforced piezoelectric cylindrical composite shell has been considered by Hossein et al. [82,83,84,85,86,87,88,89]. The effects of transverse shear and rotary inertia have been included in the study. The wave propagation characteristics are investigated considering the impact of various piezoelectric coupling factor, different polarization and different orientation of the nanotubes. The investigation of the effects of nanotube agglomeration on wave propagation and vibrational characteristics in hygrothermal were also included in the study. The proposed models find its application in dynamic stability analysis as well as in structural health monitoring as non-destructive testing. Table 5 includes significant works in various application fields of the piezoelectric polymer composite.
Material | Application | Characteristics | Refs. |
Carbon fibre with Mylar | Solar energy harvesting | Stiffness, payload capacity | [61] |
Composites with SMA wires and FBG | Morphing aircraft wings | Structural flexibility, low cross-link density | [63] |
Epoxy matrix with piezo-fibre | Smart projectile fin | [64] | |
Polymer composite with graphene-silver hybrid nanoparticles | Biomedical field | Storage modulus, electrical conductivity | [72] |
Composite matrix with luminescent ions | Solar light-harvesting, biomedical field | Optical and electrical properties | [73] |
Ceramic-composite with bioactive fillers | Bone tissue engineering | Piezoelectric property | [74] |
E-glass/epoxy composite with piezoelectric ceramic patches | Vibration control | Impact resistance | [76,77,78] |
Carbon epoxy smart composite | Damage detection | Vibro-acoustic properties | [81] |
Piezoelectric cylindrical composite with carbon nanotube | Structural health monitoring, dynamic stability | Wave propagation characteristics | [82,83,84,85,86,87,88,89] |
The review reveals that significantly less number of investigations have been enduring under experimental methods due to the requirement of highly expensive equipment and difficulty in manufacturing. In these scenarios, analytical and numerical methods found most promising in the analysis of PTCs. An extensive scope of study exists in the investigation of various types of piezoelectric materials, their coupling effects on thermoset composites, its failure modes etc. The various fields of application of PTCs are also wide open for further studies. PTCs finds its application in the emerging fields of energy harvesting, structural health monitoring, biomedical fields etc.and the research potential in these areas are in the nascent stage. So, this review paves the way for new studies in the promising regions of PTCs and its applications. Also, the increase in the number of studies in the specified area as from Figure 2 reveals the relevance of the topic.
In this paper, an overview of various piezoelectric materials and multiple approaches in PTCs are presented. PZTs are found to be the most promising piezoceramic though studies are going on to improve the electrical and mechanical characteristics of other piezoelectric materials. When used with a matching layer, the functionalities of both the piezoelectric element and the attaching layer can be improved, and thermoset composites are found to be best suited for this purpose. The applications of PTCs are not limited to the fields of aerospace, structural health monitoring etc. but to vibration control, energy harvesting, biomedical application and many more. A comprehensive review of the related journals covering approaches and applications in PTC is done here. The study reveals the need for extensive development in the area of piezoelectric thermoset composites as the range of applications is broad.
All authors declare no conflicts of interest in this paper.
[1] | Castellucci VF, Blumenfeld H, Goelet P, et al. (1989) Inhibitor of protein synthesis blocks long-term behavioral sensitization in the isolated gill-withdrawal reflex of Aplysia. J Neurobiol 20: 1-9. |
[2] | Xia SZ, Feng CH, Guo AK (1998) Multiple-phase model of memory consolidation confirmed by behavioral and pharmacological analyses of operant conditioning in Drosophila. Pharmacol Biochem Behav 60: 809-816. |
[3] | Sutton MA, Masters SE, Bagnall MW, et al. (2001) Molecular mechanisms underlying a unique intermediate phase of memory in aplysia. Neuron 31: 143-154. |
[4] | Stough S, Shobe JL, Carew TJ (2006) Intermediate-term processes in memory formation. Curr Opin Neurobiol 16: 672-678. |
[5] | Bailey CH, Bartsch D, Kandel ER (1996) Toward a molecular definition of long-term memory storage. Proc Natl Acad Sci U S A 93: 13445-13452. |
[6] | Heyward FD, Sweatt JD (2015) DNA Methylation in Memory Formation: Emerging Insights. Neuroscientist 21: 475-489. |
[7] | Alberini CM (2005) Mechanisms of memory stabilization: are consolidation and reconsolidation similar or distinct processes? Trends Neurosci 28: 51-56. |
[8] | Pineda VV, Athos JI, Wang H, et al. (2004) Removal of G(ialpha1) constraints on adenylyl cyclase in the hippocampus enhances LTP and impairs memory formation. Neuron 41: 153-163. |
[9] | Frey U, Morris RG (1997) Synaptic tagging and long-term potentiation. Nature 385: 533-536. |
[10] | Sherff CM, Carew TJ (1999) Coincident induction of long-term facilitation in Aplysia: cooperativity between cell bodies and remote synapses. Science 285: 1911-1914. |
[11] | Martin KC, Casadio A, Zhu H, et al. (1997) Synapse-specific, long-term facilitation of aplysia sensory to motor synapses: a function for local protein synthesis in memory storage. Cell 91: 927-938. |
[12] | Giese KP, Mizuno K (2013) The roles of protein kinases in learning and memory. Learn Mem 20: 540-552. |
[13] | Graves JD, Campbell JS, Krebs EG (1995) Protein serine/threonine kinases of the MAPK cascade. Ann N Y Acad Sci 766: 320-343. |
[14] | Sweatt JD (2004) Mitogen-activated protein kinases in synaptic plasticity and memory. Curr Opin Neurobiol 14: 311-317. |
[15] | Reissner KJ, Shobe JL, Carew TJ (2006) Molecular nodes in memory processing: Insights from Aplysia. Cell Moll Life Sci 63. |
[16] | Rosen LB, Ginty DD, Weber MJ, et al. (1994) Membrane depolarization and calcium influx stimulate MEK and MAP kinase via activation of Ras. Neuron 12: 1207-1221. |
[17] | Farnsworth CL, Freshney NW, Rosen LB, et al. (1995) Calcium activation of Ras mediated by neuronal exchange factor Ras-GRF. Nature 376: 524-527. |
[18] | Sherrin T, Blank T, Todorovic C (2011) c-Jun N-terminal kinases in memory and synaptic plasticity. Rev Neurosci 22: 403-410. |
[19] | Johnson GL, Lapadat R (2002) Mitogen-activated protein kinase pathways mediated by ERK, JNK, and p38 protein kinases. Science 298: 1911-1912. |
[20] | Tournier C, Hess P, Yang DD, et al. (2000) Requirement of JNK for stress-induced activation of the cytochrome c-mediated death pathway. Science 288: 870-874. |
[21] | Kyriakis JM, Banerjee P, Nikolakaki E, et al. (1994) The stress-activated protein kinase subfamily of c-Jun kinases. Nature 369: 156-160. |
[22] | Tuvikene J, Pruunsild P, Orav E, et al. (2016) AP-1 Transcription Factors Mediate BDNF-Positive Feedback Loop in Cortical Neurons. J Neurosci 36: 1290-1305. |
[23] | Williams JM, Beckmann AM, Mason-Parker SE, et al. (2000) Sequential increase in Egr-1 and AP-1 DNA binding activity in the dentate gyrus following the induction of long-term potentiation. Brain Res Mol Brain Res 77: 258-266. |
[24] | Bevilaqua LR, Kerr DS, Medina JH, et al. (2003) Inhibition of hippocampal Jun N-terminal kinase enhances short-term memory but blocks long-term memory formation and retrieval of an inhibitory avoidance task. Eur J Neurosci 17: 897-902. |
[25] | Guan Z, Kim JH, Lomvardas S, et al. (2003) p38 MAP kinase mediates both short-term and long-term synaptic depression in aplysia. J Neurosci 23: 7317-7325. |
[26] | Alberini CM (2009) Transcription factors in long-term memory and synaptic plasticity. Physiol Rev 89: 121-145. |
[27] | Alberini CM, Ghirardi M, Metz R, et al. (1994) C/EBP is an immediate-early gene required for the consolidation of long-term facilitation in Aplysia. Cell 76: 1099-1114. |
[28] | Taubenfeld SM, Milekic MH, Monti B, et al. (2001) The consolidation of new but not reactivated memory requires hippocampal C/EBPbeta. Nat Neurosci 4: 813-818. |
[29] | Murray HJ, O'Connor JJ (2003) A role for COX-2 and p38 mitogen activated protein kinase in long-term depression in the rat dentate gyrus in vitro. Neuropharmacology 44: 374-380. |
[30] | Moult PR, Correa SA, Collingridge GL, et al. (2008) Co-activation of p38 mitogen-activated protein kinase and protein tyrosine phosphatase underlies metabotropic glutamate receptor-dependent long-term depression. J Physiol 586: 2499-2510. |
[31] | Sanderson TM, Hogg EL, Collingridge GL, et al. (2016) Hippocampal mGluR-LTD in health and disease: focus on the p38 MAPK and ERK1/2 pathways. J Neurochem. |
[32] | Zarubin T, Han J (2005) Activation and signaling of the p38 MAP kinase pathway. Cell Res 15: 11-18. |
[33] | Liu RY, Zhang Y, Coughlin BL, et al. (2014) Doxorubicin attenuates serotonin-induced long-term synaptic facilitation by phosphorylation of p38 mitogen-activated protein kinase. J Neurosci 34: 13289-13300. |
[34] | Atkins CM, Selcher JC, Petraitis JJ, et al. (1998) The MAPK cascade is required for mammalian associative learning. Nat Neurosci 1: 602-609. |
[35] | Sharma SK, Sherff CM, Shobe J, et al. (2003) Differential role of mitogen-activated protein kinase in three distinct phases of memory for sensitization in Aplysia. J Neurosci 23: 3899-3907. |
[36] | Ajay SM, Bhalla US (2004) A role for ERKII in synaptic selectivity on the time-scale of minutes. Eur J Neurosci 20: 2671-2680. |
[37] | Philips GT, Ye X, Kopec AM, et al. (2013) MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J Neurosci 33: 7565-7573. |
[38] | Ye X, Shobe JL, Sharma SK, et al. (2008) Small G proteins exhibit pattern sensitivity in MAPK activation during the induction of memory and synaptic facilitation in Aplysia. Proc Natl Acad Sci U S A 105: 20511-20516. |
[39] | Pagani MR, Oishi K, Gelb BD, et al. (2009) The phosphatase SHP2 regulates the spacing effect for long-term memory induction. Cell 139: 186-198. |
[40] | Shobe JL, Zhao Y, Stough S, et al. (2009) Temporal phases of activity-dependent plasticity and memory are mediated by compartmentalized routing of MAPK signaling in aplysia sensory neurons. Neuron 61: 113-125. |
[41] | Michel M, Green CL, Eskin A, et al. (2011) PKG-mediated MAPK signaling is necessary for long-term operant memory in Aplysia. Learn Mem 18: 108-117. |
[42] | Ye X, Marina A, Carew TJ (2012) Local synaptic integration of mitogen-activated protein kinase and protein kinase A signaling mediates intermediate-term synaptic facilitation in Aplysia. Proc Natl Acad Sci U S A 109: 18162-18167. |
[43] | Philips GT, Tzvetkova EI, Carew TJ (2007) Transient mitogen-activated protein kinase activation is confined to a narrow temporal window required for the induction of two-trial long-term memory in Aplysia. J Neurosci 27: 13701-13705. |
[44] | Zhang Y, Liu RY, Heberton GA, et al. (2012) Computational design of enhanced learning protocols. Nat Neurosci 15: 294-297. |
[45] | Sweatt JD (2001) The neuronal MAP kinase cascade: a biochemical signal integration system subserving synaptic plasticity and memory. J Neurochem 76: 1-10. |
[46] | Casar B, Pinto A, Crespo P (2009) ERK dimers and scaffold proteins: unexpected partners for a forgotten (cytoplasmic) task. Cell Cycle 8: 1007-1013. |
[47] | Casar B, Arozarena I, Sanz-Moreno V, et al. (2009) Ras subcellular localization defines extracellular signal-regulated kinase 1 and 2 substrate specificity through distinct utilization of scaffold proteins. Mol Cell Biol 29: 1338-1353. |
[48] | Shalin SC, Hernandez CM, Dougherty MK, et al. (2006) Kinase suppressor of Ras1 compartmentalizes hippocampal signal transduction and subserves synaptic plasticity and memory formation. Neuron 50: 765-779. |
[49] | Morice C, Nothias F, Konig S, et al. (1999) Raf-1 and B-Raf proteins have similar regional distributions but differential subcellular localization in adult rat brain. Eur J Neurosci 11: 1995-2006. |
[50] | Micheau J, Riedel G (1999) Protein kinases: which one is the memory molecule? Cell Mol Life Sci 55: 534-548. |
[51] | Nguyen PV, Woo NH (2003) Regulation of hippocampal synaptic plasticity by cyclic AMP-dependent protein kinases. Prog Neurobiol 71: 401-437. |
[52] | Baudry M, Zhu G, Liu Y, et al. (2015) Multiple cellular cascades participate in long-term potentiation and in hippocampus-dependent learning. Brain Res 1621: 73-81. |
[53] | Kandel ER (2001) The molecular biology of memory storage: a dialog between genes and synapses. Biosci Rep 21: 565-611. |
[54] | Kandel ER (2012) The molecular biology of memory: cAMP, PKA, CRE, CREB-1, CREB-2, and CPEB. Mol Brain 5: 14. |
[55] | Abel T, Nguyen PV, Barad M, et al. (1997) Genetic demonstration of a role for PKA in the late phase of LTP and in hippocampus-based long-term memory. Cell 88: 615-626. |
[56] | Hegde AN, Inokuchi K, Pei W, et al. (1997) Ubiquitin C-terminal hydrolase is an immediate-early gene essential for long-term facilitation in Aplysia. Cell 89: 115-126. |
[57] | Muller U, Carew TJ (1998) Serotonin induces temporally and mechanistically distinct phases of persistent PKA activity in Aplysia sensory neurons. Neuron 21: 1423-1434. |
[58] | Bacskai BJ, Hochner B, Mahaut-Smith M, et al. (1993) Spatially resolved dynamics of cAMP and protein kinase A subunits in Aplysia sensory neurons. Science 260: 222-226. |
[59] | Kaang BK, Kandel ER, Grant SG (1993) Activation of cAMP-responsive genes by stimuli that produce long-term facilitation in Aplysia sensory neurons. Neuron 10: 427-435. |
[60] | Dash PK, Hochner B, Kandel ER (1990) Injection of the cAMP-responsive element into the nucleus of Aplysia sensory neurons blocks long-term facilitation. Nature 345: 718-721. |
[61] | Pu L, Bao GB, Xu NJ, et al. (2002) Hippocampal long-term potentiation is reduced by chronic opiate treatment and can be restored by re-exposure to opiates. J Neurosci 22: 1914-1921. |
[62] | Bourtchuladze R, Frenguelli B, Blendy J, et al. (1994) Deficient long-term memory in mice with a targeted mutation of the cAMP-responsive element-binding protein. Cell 79: 59-68. |
[63] | Bauman AL, Goehring AS, Scott JD (2004) Orchestration of synaptic plasticity through AKAP signaling complexes. Neuropharmacology 46: 299-310. |
[64] | Sanderson JL, Dell'Acqua ML (2011) AKAP signaling complexes in regulation of excitatory synaptic plasticity. Neuroscientist 17: 321-336. |
[65] | Huang T, McDonough CB, Abel T (2006) Compartmentalized PKA signaling events are required for synaptic tagging and capture during hippocampal late-phase long-term potentiation. Eur J Cell Biol 85: 635-642. |
[66] | Guan Z, Giustetto M, Lomvardas S, et al. (2002) Integration of long-term-memory-related synaptic plasticity involves bidirectional regulation of gene expression and chromatin structure. Cell 111: 483-493. |
[67] | Bartsch D, Ghirardi M, Skehel PA, et al. (1995) Aplysia CREB2 represses long-term facilitation: relief of repression converts transient facilitation into long-term functional and structural change. Cell 83: 979-992. |
[68] | Abel T, Martin KC, Bartsch D, et al. (1998) Memory suppressor genes: inhibitory constraints on the storage of long-term memory. Science 279: 338-341. |
[69] | Hai T, Hartman MG (2001) The molecular biology and nomenclature of the activating transcription factor/cAMP responsive element binding family of transcription factors: activating transcription factor proteins and homeostasis. Gene 273: 1-11. |
[70] | Schoch S, Cibelli G, Magin A, et al. (2001) Modular structure of cAMP response element binding protein 2 (CREB2). Neurochem Int 38: 601-608. |
[71] | Pasini S, Corona C, Liu J, et al. (2015) Specific downregulation of hippocampal ATF4 reveals a necessary role in synaptic plasticity and memory. Cell Rep 11: 183-191. |
[72] | Soda T, Frank C, Ishizuka K, et al. (2013) DISC1-ATF4 transcriptional repression complex: dual regulation of the cAMP-PDE4 cascade by DISC1. Mol Psychiatry 18: 898-908. |
[73] | Roberson ED, English JD, Adams JP, et al. (1999) The mitogen-activated protein kinase cascade couples PKA and PKC to cAMP response element binding protein phosphorylation in area CA1 of hippocampus. J Neurosci 19: 4337-4348. |
[74] | Martin KC, Michael D, Rose JC, et al. (1997) MAP kinase translocates into the nucleus of the presynaptic cell and is required for long-term facilitation in Aplysia. Neuron 18: 899-912. |
[75] | Impey S, Obrietan K, Wong ST, et al. (1998) Cross talk between ERK and PKA is required for Ca2+ stimulation of CREB-dependent transcription and ERK nuclear translocation. Neuron 21: 869-883. |
[76] | Rosenkranz JA, Frick A, Johnston D (2009) Kinase-dependent modification of dendritic excitability after long-term potentiation. J Physiol 587: 115-125. |
[77] | Quevedo J, Vianna MR, Roesler R, et al. (2005) Pretraining but not preexposure to the task apparatus prevents the memory impairment induced by blockade of protein synthesis, PKA or MAP kinase in rats. Neurochem Res 30: 61-67. |
[78] | Wu GY, Deisseroth K, Tsien RW (2001) Activity-dependent CREB phosphorylation: convergence of a fast, sensitive calmodulin kinase pathway and a slow, less sensitive mitogen-activated protein kinase pathway. Proc Natl Acad Sci U S A 98: 2808-2813. |
[79] | Wayman GA, Lee YS, Tokumitsu H, et al. (2008) Calmodulin-kinases: modulators of neuronal development and plasticity. Neuron 59: 914-931. |
[80] | Kelly MT, Crary JF, Sacktor TC (2007) Regulation of protein kinase Mzeta synthesis by multiple kinases in long-term potentiation. J Neurosci 27: 3439-3444. |
[81] | Newton AC (1995) Protein kinase C: structure, function, and regulation. J Biol Chem 270: 28495-28498. |
[82] | Tsokas P, Ma T, Iyengar R, et al. (2007) Mitogen-activated protein kinase upregulates the dendritic translation machinery in long-term potentiation by controlling the mammalian target of rapamycin pathway. J Neurosci 27: 5885-5894. |
[83] | Cammalleri M, Lutjens R, Berton F, et al. (2003) Time-restricted role for dendritic activation of the mTOR-p70S6K pathway in the induction of late-phase long-term potentiation in the CA1. Proc Natl Acad Sci U S A 100: 14368-14373. |
[84] | Kelleher RJ, 3rd, Govindarajan A, Tonegawa S (2004) Translational regulatory mechanisms in persistent forms of synaptic plasticity. Neuron 44: 59-73. |
[85] | Hoeffer CA, Klann E (2010) mTOR signaling: at the crossroads of plasticity, memory and disease. Trends Neurosci 33: 67-75. |
[86] | Hayer A, Bhalla US (2005) Molecular switches at the synapse emerge from receptor and kinase traffic. PLoS Comput Biol 1: 137-154. |
[87] | Smolen P, Baxter DA, Byrne JH (2006) A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophys J 90: 2760-2775. |
[88] | Jalil SJ, Sacktor TC, Shouval HZ (2015) Atypical PKCs in memory maintenance: the roles of feedback and redundancy. Learn Mem 22: 344-353. |
[89] | Heerssen HM, Segal RA (2002) Location, location, location: a spatial view of neurotrophin signal transduction. Trends Neurosci 25: 160-165. |
[90] | Dailey L, Ambrosetti D, Mansukhani A, et al. (2005) Mechanisms underlying differential responses to FGF signaling. Cytokine Growth Factor Rev 16: 233-247. |
[91] | Ramel MC, Hill CS (2012) Spatial regulation of BMP activity. FEBS Lett 586: 1929-1941. |
[92] | Kopec AM, Carew TJ (2013) Growth factor signaling and memory formation: temporal and spatial integration of a molecular network. Learn Mem 20: 531-539. |
[93] | Cohen S, Levi-Montalcini R, Hamburger V (1954) A nerve growth-stimulating factor isolated from sarcomas 37 and 180. Proc Natl Acad Sci U S A 40: 1014-1018. |
[94] | Levi-Montalcini R, Skaper SD, Dal Toso R, et al. (1996) Nerve growth factor: from neurotrophin to neurokine. Trends Neurosci 19: 514-520. |
[95] | Edelmann E, Lessmann V, Brigadski T (2014) Pre- and postsynaptic twists in BDNF secretion and action in synaptic plasticity. Neuropharmacology 76 Pt C: 610-627. |
[96] | Lessmann V, Gottmann K, Malcangio M (2003) Neurotrophin secretion: current facts and future prospects. Prog Neurobiol 69: 341-374. |
[97] | Tongiorgi E (2008) Activity-dependent expression of brain-derived neurotrophic factor in dendrites: facts and open questions. Neurosci Res 61: 335-346. |
[98] | Conner JM, Lauterborn JC, Yan Q, et al. (1997) Distribution of brain-derived neurotrophic factor (BDNF) protein and mRNA in the normal adult rat CNS: evidence for anterograde axonal transport. J Neurosci 17: 2295-2313. |
[99] | Smith MA, Zhang LX, Lyons WE, et al. (1997) Anterograde transport of endogenous brain-derived neurotrophic factor in hippocampal mossy fibers. Neuroreport 8: 1829-1834. |
[100] | Yan Q, Rosenfeld RD, Matheson CR, et al. (1997) Expression of brain-derived neurotrophic factor protein in the adult rat central nervous system. Neuroscience 78: 431-448. |
[101] | Salio C, Averill S, Priestley JV, et al. (2007) Costorage of BDNF and neuropeptides within individual dense-core vesicles in central and peripheral neurons. Dev Neurobiol 67: 326-338. |
[102] | Dieni S, Matsumoto T, Dekkers M, et al. (2012) BDNF and its pro-peptide are stored in presynaptic dense core vesicles in brain neurons. J Cell Biol 196: 775-788. |
[103] | Altar CA, Cai N, Bliven T, et al. (1997) Anterograde transport of brain-derived neurotrophic factor and its role in the brain. Nature 389: 856-860. |
[104] | Wetmore C, Cao YH, Pettersson RF, et al. (1991) Brain-derived neurotrophic factor: subcellular compartmentalization and interneuronal transfer as visualized with anti-peptide antibodies. Proc Natl Acad Sci U S A 88: 9843-9847. |
[105] | Aoki C, Wu K, Elste A, et al. (2000) Localization of brain-derived neurotrophic factor and TrkB receptors to postsynaptic densities of adult rat cerebral cortex. J Neurosci Res 59: 454-463. |
[106] | Tongiorgi E, Armellin M, Giulianini PG, et al. (2004) Brain-derived neurotrophic factor mRNA and protein are targeted to discrete dendritic laminas by events that trigger epileptogenesis. J Neurosci 24: 6842-6852. |
[107] | An JJ, Gharami K, Liao GY, et al. (2008) Distinct role of long 3' UTR BDNF mRNA in spine morphology and synaptic plasticity in hippocampal neurons. Cell 134: 175-187. |
[108] | DiStefano PS, Friedman B, Radziejewski C, et al. (1992) The neurotrophins BDNF, NT-3, and NGF display distinct patterns of retrograde axonal transport in peripheral and central neurons. Neuron 8: 983-993. |
[109] | Zweifel LS, Kuruvilla R, Ginty DD (2005) Functions and mechanisms of retrograde neurotrophin signalling. Nat Rev Neurosci 6: 615-625. |
[110] | Baulida J, Kraus MH, Alimandi M, et al. (1996) All ErbB receptors other than the epidermal growth factor receptor are endocytosis impaired. Journal of Biological Chemistry 271: 5251-5257. |
[111] | Lau MM, Stewart CE, Liu Z, et al. (1994) Loss of the imprinted IGF2/cation-independent mannose 6-phosphate receptor results in fetal overgrowth and perinatal lethality. Genes Dev 8: 2953-2963. |
[112] | Hawkes C, Kar S (2004) The insulin-like growth factor-II/mannose-6-phosphate receptor: structure, distribution and function in the central nervous system. Brain Res Brain Res Rev 44: 117-140. |
[113] | Bao J, Alroy I, Waterman H, et al. (2000) Threonine phosphorylation diverts internalized epidermal growth factor receptors from a degradative pathway to the recycling endosome. Journal of Biological Chemistry 275: 26178-26186. |
[114] | Lu B (2003) BDNF and activity-dependent synaptic modulation. Learn Mem 10: 86-98. |
[115] | Lessmann V, Brigadski T (2009) Mechanisms, locations, and kinetics of synaptic BDNF secretion: an update. Neurosci Res 65: 11-22. |
[116] | Zafra F, Hengerer B, Leibrock J, et al. (1990) Activity dependent regulation of BDNF and NGF mRNAs in the rat hippocampus is mediated by non-NMDA glutamate receptors. Embo j 9: 3545-3550. |
[117] | Blochl A, Thoenen H (1995) Characterization of nerve growth factor (NGF) release from hippocampal neurons: evidence for a constitutive and an unconventional sodium-dependent regulated pathway. Eur J Neurosci 7: 1220-1228. |
[118] | Blochl A, Thoenen H (1996) Localization of cellular storage compartments and sites of constitutive and activity-dependent release of nerve growth factor (NGF) in primary cultures of hippocampal neurons. Mol Cell Neurosci 7: 173-190. |
[119] | Goodman LJ, Valverde J, Lim F, et al. (1996) Regulated release and polarized localization of brain-derived neurotrophic factor in hippocampal neurons. Mol Cell Neurosci 7: 222-238. |
[120] | Boukhaddaoui H, Sieso V, Scamps F, et al. (2001) An activity-dependent neurotrophin-3 autocrine loop regulates the phenotype of developing hippocampal pyramidal neurons before target contact. J Neurosci 21: 8789-8797. |
[121] | Patterson SL, Grover LM, Schwartzkroin PA, et al. (1992) Neurotrophin expression in rat hippocampal slices: a stimulus paradigm inducing LTP in CA1 evokes increases in BDNF and NT-3 mRNAs. Neuron 9: 1081-1088. |
[122] | Canossa M, Griesbeck O, Berninger B, et al. (1997) Neurotrophin release by neurotrophins: implications for activity-dependent neuronal plasticity. Proc Natl Acad Sci U S A 94: 13279-13286. |
[123] | Kruttgen A, Moller JC, Heymach JV, Jr., et al. (1998) Neurotrophins induce release of neurotrophins by the regulated secretory pathway. Proc Natl Acad Sci U S A 95: 9614-9619. |
[124] | Bambah-Mukku D, Travaglia A, Chen DY, et al. (2014) A Positive Autoregulatory BDNF Feedback Loop via C/EBPbeta Mediates Hippocampal Memory Consolidation. J Neurosci 34: 12547-12559. |
[125] | Kim HG, Wang T, Olafsson P, et al. (1994) Neurotrophin 3 potentiates neuronal activity and inhibits gamma-aminobutyratergic synaptic transmission in cortical neurons. Proc Natl Acad Sci U S A 91: 12341-12345. |
[126] | Carmignoto G, Pizzorusso T, Tia S, et al. (1997) Brain-derived neurotrophic factor and nerve growth factor potentiate excitatory synaptic transmission in the rat visual cortex. J Physiol 498 ( Pt 1): 153-164. |
[127] | Lessmann V, Gottmann K, Heumann R (1994) BDNF and NT-4/5 enhance glutamatergic synaptic transmission in cultured hippocampal neurones. Neuroreport 6: 21-25. |
[128] | Kang H, Schuman EM (1995) Long-lasting neurotrophin-induced enhancement of synaptic transmission in the adult hippocampus. Science 267: 1658-1662. |
[129] | Levine ES, Crozier RA, Black IB, et al. (1998) Brain-derived neurotrophic factor modulates hippocampal synaptic transmission by increasing N-methyl-D-aspartic acid receptor activity. Proc Natl Acad Sci U S A 95: 10235-10239. |
[130] | Levine ES, Dreyfus CF, Black IB, et al. (1995) Brain-derived neurotrophic factor rapidly enhances synaptic transmission in hippocampal neurons via postsynaptic tyrosine kinase receptors. Proc Natl Acad Sci U S A 92: 8074-8077. |
[131] | Tanaka T, Saito H, Matsuki N (1997) Inhibition of GABAA synaptic responses by brain-derived neurotrophic factor (BDNF) in rat hippocampus. J Neurosci 17: 2959-2966. |
[132] | Chen DY, Bambah-Mukku D, Pollonini G, et al. (2012) Glucocorticoid receptors recruit the CaMKIIalpha-BDNF-CREB pathways to mediate memory consolidation. Nat Neurosci 15: 1707-1714. |
[133] | Kanhema T, Dagestad G, Panja D, et al. (2006) Dual regulation of translation initiation and peptide chain elongation during BDNF-induced LTP in vivo: evidence for compartment-specific translation control. J Neurochem 99: 1328-1337. |
[134] | Chen DY, Stern SA, Garcia-Osta A, et al. (2011) A critical role for IGF-II in memory consolidation and enhancement. Nature 469: 491-497. |
[135] | Woolf NJ, Milov AM, Schweitzer ES, et al. (2001) Elevation of nerve growth factor and antisense knockdown of TrkA receptor during contextual memory consolidation. J Neurosci 21: 1047-1055. |
[136] | Ageta H, Ikegami S, Miura M, et al. (2010) Activin plays a key role in the maintenance of long-term memory and late-LTP. Learning & Memory 17: 176-185. |
[137] | Bekinschtein P, Cammarota M, Igaz LM, et al. (2007) Persistence of long-term memory storage requires a late protein synthesis- and BDNF- dependent phase in the hippocampus. Neuron 53: 261-277. |
[138] | Bekinschtein P, Cammarota M, Katche C, et al. (2008) BDNF is essential to promote persistence of long-term memory storage. Proc Natl Acad Sci U S A 105: 2711-2716. |
[139] | Matus A (2000) Actin-based plasticity in dendritic spines. Science 290: 754-758. |
[140] | Jaworski J, Kapitein LC, Gouveia SM, et al. (2009) Dynamic microtubules regulate dendritic spine morphology and synaptic plasticity. Neuron 61: 85-100. |
[141] | Tsvetkov A, Popov S (2007) Analysis of tubulin transport in nerve processes. Methods Mol Med 137: 161-173. |
[142] | Hirokawa N (1998) Kinesin and dynein superfamily proteins and the mechanism of organelle transport. Science 279: 519-526. |
[143] | Goldstein LS, Philp AV (1999) The road less traveled: emerging principles of kinesin motor utilization. Annu Rev Cell Dev Biol 15: 141-183. |
[144] | Woehlke G, Schliwa M (2000) Walking on two heads: the many talents of kinesin. Nat Rev Mol Cell Biol 1: 50-58. |
[145] | Merriam EB, Millette M, Lumbard DC, et al. (2013) Synaptic regulation of microtubule dynamics in dendritic spines by calcium, F-actin, and drebrin. J Neurosci 33: 16471-16482. |
[146] | Puthanveettil SV, Monje FJ, Miniaci MC, et al. (2008) A new component in synaptic plasticity: upregulation of kinesin in the neurons of the gill-withdrawal reflex. Cell 135: 960-973. |
[147] | Pinsker HM, Hening WA, Carew TJ, et al. (1973) Long-term sensitization of a defensive withdrawal reflex in Aplysia. Science 182: 1039-1042. |
[148] | Marinesco S, Carew TJ (2002) Serotonin release evoked by tail nerve stimulation in the CNS of aplysia: characterization and relationship to heterosynaptic plasticity. J Neurosci 22: 2299-2312. |
[149] | Philips GT, Sherff CM, Menges SA, et al. (2011) The tail-elicited tail withdrawal reflex of Aplysia is mediated centrally at tail sensory-motor synapses and exhibits sensitization across multiple temporal domains. Learn Mem 18: 272-282. |
[150] | Hawkins RD, Kandel ER, Bailey CH (2006) Molecular mechanisms of memory storage in Aplysia. Biol Bull 210: 174-191. |
[151] | Sutton MA, Ide J, Masters SE, et al. (2002) Interaction between amount and pattern of training in the induction of intermediate- and long-term memory for sensitization in aplysia. Learn Mem 9: 29-40. |
[152] | Mauelshagen J, Sherff CM, Carew TJ (1998) Differential induction of long-term synaptic facilitation by spaced and massed applications of serotonin at sensory neuron synapses of Aplysia californica. Learn Mem 5: 246-256. |
[153] | Philips GT, Kopec AM, Carew TJ (2013) Pattern and predictability in memory formation: From molecular mechanisms to clinical relevance. Neurobiol Learn Mem. |
[154] | Shobe J, Philips GT, Carew TJ (2016) Transforming growth factor beta recruits persistent MAPK signaling to regulate long-term memory consolidation in Aplysia californica. Learn Mem 23: 182-188. |
[155] | Sharma SK, Sherff CM, Stough S, et al. (2006) A tropomyosin-related kinase B ligand is required for ERK activation, long-term synaptic facilitation, and long-term memory in aplysia. Proc Natl Acad Sci U S A 103: 14206-14210. |
[156] | Kassabov SR, Choi YB, Karl KA, et al. (2013) A Single Aplysia Neurotrophin Mediates Synaptic Facilitation via Differentially Processed Isoforms. Cell Rep 3: 1213-1227. |
[157] | Chin J, Angers A, Cleary LJ, et al. (1999) TGF-beta 1 in Aplysia: Role in long-term changes in the excitability of sensory neurons and distribution of T beta R-II-like immunoreactivity. Learning & Memory 6: 317-330. |
[158] | Chin J, Angers A, Cleary LJ, et al. (2002) Transforming growth factor beta1 alters synapsin distribution and modulates synaptic depression in Aplysia. J Neurosci 22: RC220. |
[159] | Chin J, Liu RY, Cleary LJ, et al. (2006) TGF-beta1-induced long-term changes in neuronal excitability in aplysia sensory neurons depend on MAPK. J Neurophysiol 95: 3286-3290. |
[160] | Zhang F, Endo S, Cleary LJ, et al. (1997) Role of transforming growth factor-beta in long-term synaptic facilitation in Aplysia. Science 275: 1318-1320. |
[161] | Kopec AM, Philips GT, Carew TJ (2015) Distinct Growth Factor Families Are Recruited in Unique Spatiotemporal Domains during Long-Term Memory Formation in Aplysia californica. Neuron 86: 1228-1239. |
[162] | Yim SJ, Lee YS, Lee JA, et al. (2006) Regulation of ApC/EBP mRNA by the Aplysia AU-rich element-binding protein, ApELAV, and its effects on 5-hydroxytryptamine-induced long-term facilitation. J Neurochem 98: 420-429. |
[163] | Glisovic T, Bachorik JL, Yong J, et al. (2008) RNA-binding proteins and post-transcriptional gene regulation. FEBS Lett 582: 1977-1986. |
[164] | Sanchez-Diaz P, Penalva LO (2006) Post-transcription meets post-genomic: the saga of RNA binding proteins in a new era. RNA Biol 3: 101-109. |
[165] | Wyers F, Rougemaille M, Badis G, et al. (2005) Cryptic pol II transcripts are degraded by a nuclear quality control pathway involving a new poly(A) polymerase. Cell 121: 725-737. |
[166] | Doller A, Schlepckow K, Schwalbe H, et al. (2010) Tandem phosphorylation of serines 221 and 318 by protein kinase Cdelta coordinates mRNA binding and nucleocytoplasmic shuttling of HuR. Mol Cell Biol 30: 1397-1410. |
[167] | Lafarga V, Cuadrado A, Lopez de Silanes I, et al. (2009) p38 Mitogen-activated protein kinase- and HuR-dependent stabilization of p21(Cip1) mRNA mediates the G(1)/S checkpoint. Mol Cell Biol 29: 4341-4351. |
[168] | Wang W, Fan J, Yang X, et al. (2002) AMP-activated kinase regulates cytoplasmic HuR. Mol Cell Biol 22: 3425-3436. |
[169] | Bakken TE, Miller JA, Ding SL, et al. (2016) A comprehensive transcriptional map of primate brain development. Nature 535: 367-375. |
[170] | Yuzwa SA, Yang G, Borrett MJ, et al. (2016) Proneurogenic Ligands Defined by Modeling Developing Cortex Growth Factor Communication Networks. Neuron. |
[171] | Pollak DD, Minh BQ, Cicvaric A, et al. (2014) A novel fibroblast growth factor receptor family member promotes neuronal outgrowth and synaptic plasticity in aplysia. Amino Acids 46: 2477-2488. |
[172] | Pu L, Kopec AM, Boyle HD, et al. (2014) A novel cysteine-rich neurotrophic factor in Aplysia facilitates growth, MAPK activation, and long-term synaptic facilitation. Learn Mem 21: 215-222. |
[173] | Brunet JF, Shapiro E, Foster SA, et al. (1991) Identification of a peptide specific for Aplysia sensory neurons by PCR-based differential screening. Science 252: 856-859. |
[174] | Phillips HS, Hains JM, Armanini M, et al. (1991) BDNF mRNA is decreased in the hippocampus of individuals with Alzheimer's disease. Neuron 7: 695-702. |
[175] | Peress NS, Perillo E (1995) Differential expression of TGF-beta 1, 2 and 3 isotypes in Alzheimer's disease: a comparative immunohistochemical study with cerebral infarction, aged human and mouse control brains. J Neuropathol Exp Neurol 54: 802-811. |
[176] | Lim YY, Villemagne VL, Laws SM, et al. (2014) APOE and BDNF polymorphisms moderate amyloid beta-related cognitive decline in preclinical Alzheimer's disease. Mol Psychiatry. |
1. | Klaus Deckelnick, Marco Doemeland, Hans-Christoph Grunau, Boundary value problems for a special Helfrich functional for surfaces of revolution: existence and asymptotic behaviour, 2021, 60, 0944-2669, 10.1007/s00526-020-01875-6 | |
2. | L. De Luca, M. Ponsiglione, Variational models in elasticity, 2021, 3, 2640-3501, 1, 10.3934/mine.2021015 | |
3. | Marco Pozzetta, On the Plateau–Douglas problem for the Willmore energy of surfaces with planar boundary curves, 2021, 27, 1292-8119, S2, 10.1051/cocv/2020049 | |
4. | Anthony Gruber, Magdalena Toda, Hung Tran, Stationary surfaces with boundaries, 2022, 62, 0232-704X, 305, 10.1007/s10455-022-09850-4 | |
5. | Manuel Schlierf, On the convergence of the Willmore flow with Dirichlet boundary conditions, 2024, 241, 0362546X, 113475, 10.1016/j.na.2023.113475 | |
6. | Anna Kubin, Luca Lussardi, Marco Morandotti, Direct Minimization of the Canham–Helfrich Energy on Generalized Gauss Graphs, 2024, 34, 1050-6926, 10.1007/s12220-024-01564-2 | |
7. | Manuel Schlierf, Global existence for the Willmore flow with boundary via Simon’s Li–Yau inequality, 2025, 1864-8258, 10.1515/acv-2024-0018 |
Piezoelectric material | Density (g/cm3) | Piezoelectric (strain) constant d33 (m/v) | Electro-mechanical coupling coefficient k33 | Refs. |
PZT | 7.80 | 4.50 × 10−10 | 0.66 | [4,5] |
PVDF | 1.78 | 4.00 × 10−10 | 0.12 | [6] |
PMN-PT | 7.70 | 3.57 × 10−10 | 0.94 | [6,7] |
LMN | 6.30 | 0.77 × 10−10 | 0.42 | [8] |
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | Extensional Hamilton’s principle and improved layer theory | Degrading performanceof the partially debonded sensor | [15] |
Piezo-magneto nanobeam | Hamiltons principle | Thermal post-buckling | [41] | |
Graphite epoxy | A.F.C. layer | Potential energy approach | Parametric study | [42] |
Wafer reinforced magnetoelectric plate magnetoelectric shell with honeycomb filler | Maxwell’s equation | Significant coefficients and dependent field variable | [43] | |
Elastic layer | Piezoelectric + Piezomagnetic layer | Maxwell’s equation | Mechanical and electrical properties | [44] |
Graphite epoxy | PFRC actuator | Navier’s method and Principle of virtual work | Transient characteristics | [45] |
Graphite epoxy | PZT + PVDF | Classical variational formulation | Static and dynamic vibration control | [46] |
GFRP | Kirchoff’s hypothesis | Twisting deformation | [47] | |
Graphite epoxy | CFRP | Higher-order shear deformation kinematics | Flexural behaviour | [48] |
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | FEM (Extended Hamilton’s principle and improvedlayer theory) | Dynamic characteristics | [15] |
Graphite epoxy | PZT + PVDF | FEM | Static and dynamicvibration control | [46] |
GFRP | KYNAP | FEM-Abaqus (Kirchoff’s law) | Twisting deformation and optimal shape control | [47] |
Graphite epoxy and CFRP | Trefnol-D + PZT-4 | FEM-Ansys (Higher-order shear deformation kinematics) | Flexural behaviour | [48] |
CFRC | PZT | XFEM-Abaqus (Galerkin’s method) | Tensile and in-planeshear properties | [49] |
Aluminium boronfibre | Piezoelectric + Piezomagnetic layer | FEM-Ansys (Classical laminate theory and Viscoplastic theory) | Mechanical properties and non-linear responses | [50] |
Graphite epoxy | PZT | FEM (Variational principle) | Material nonlinearity | [51] |
Graphite epoxy and glass epoxy | PZT | FEM-Ansys | Vibration | [52] |
Graphite epoxy | Trefnol-D | F.E.M. (Third order shear deformation theory | Non-linear static behaviour | [53] |
Graphite epoxy | PZT-4 | FEM (Virtual work principle) | Static parameters | [54] |
Graphite epoxy | PZT-5A | FEM (Maxwell’s equation) | Static- nonlinear | [55] |
Fibreglass | PZT | FEM (Strength-based approach) | Damage | [56] |
Kevlar carbon fibre | PVDF | FEM-Ansys (Dunn and Tayamicromechanical approach) | Degree of polarizationand mechanical and piezoelectric characteristics | [56] |
Composite strut andcomposite panel | PZT-5A | FEM | Optimum voltage | [58] |
Composite material | Piezoelectric material | Properties | Refs. |
CFRC | PZT | Mechanical properties (Electronic Universal Testing Machine) | [49] |
Fibreglass | PZT | Mechanical and electrical capacity (4-point bending test setup) | [56] |
Aramid | PZT + PVDF | Mechanical and electrical properties | [60] |
Material | Application | Characteristics | Refs. |
Carbon fibre with Mylar | Solar energy harvesting | Stiffness, payload capacity | [61] |
Composites with SMA wires and FBG | Morphing aircraft wings | Structural flexibility, low cross-link density | [63] |
Epoxy matrix with piezo-fibre | Smart projectile fin | [64] | |
Polymer composite with graphene-silver hybrid nanoparticles | Biomedical field | Storage modulus, electrical conductivity | [72] |
Composite matrix with luminescent ions | Solar light-harvesting, biomedical field | Optical and electrical properties | [73] |
Ceramic-composite with bioactive fillers | Bone tissue engineering | Piezoelectric property | [74] |
E-glass/epoxy composite with piezoelectric ceramic patches | Vibration control | Impact resistance | [76,77,78] |
Carbon epoxy smart composite | Damage detection | Vibro-acoustic properties | [81] |
Piezoelectric cylindrical composite with carbon nanotube | Structural health monitoring, dynamic stability | Wave propagation characteristics | [82,83,84,85,86,87,88,89] |
Piezoelectric material | Density (g/cm3) | Piezoelectric (strain) constant d33 (m/v) | Electro-mechanical coupling coefficient k33 | Refs. |
PZT | 7.80 | 4.50 × 10−10 | 0.66 | [4,5] |
PVDF | 1.78 | 4.00 × 10−10 | 0.12 | [6] |
PMN-PT | 7.70 | 3.57 × 10−10 | 0.94 | [6,7] |
LMN | 6.30 | 0.77 × 10−10 | 0.42 | [8] |
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | Extensional Hamilton’s principle and improved layer theory | Degrading performanceof the partially debonded sensor | [15] |
Piezo-magneto nanobeam | Hamiltons principle | Thermal post-buckling | [41] | |
Graphite epoxy | A.F.C. layer | Potential energy approach | Parametric study | [42] |
Wafer reinforced magnetoelectric plate magnetoelectric shell with honeycomb filler | Maxwell’s equation | Significant coefficients and dependent field variable | [43] | |
Elastic layer | Piezoelectric + Piezomagnetic layer | Maxwell’s equation | Mechanical and electrical properties | [44] |
Graphite epoxy | PFRC actuator | Navier’s method and Principle of virtual work | Transient characteristics | [45] |
Graphite epoxy | PZT + PVDF | Classical variational formulation | Static and dynamic vibration control | [46] |
GFRP | Kirchoff’s hypothesis | Twisting deformation | [47] | |
Graphite epoxy | CFRP | Higher-order shear deformation kinematics | Flexural behaviour | [48] |
Composite material | Piezoelectric material | Approach | Properties | Refs. |
Laminae | PZT-5H | FEM (Extended Hamilton’s principle and improvedlayer theory) | Dynamic characteristics | [15] |
Graphite epoxy | PZT + PVDF | FEM | Static and dynamicvibration control | [46] |
GFRP | KYNAP | FEM-Abaqus (Kirchoff’s law) | Twisting deformation and optimal shape control | [47] |
Graphite epoxy and CFRP | Trefnol-D + PZT-4 | FEM-Ansys (Higher-order shear deformation kinematics) | Flexural behaviour | [48] |
CFRC | PZT | XFEM-Abaqus (Galerkin’s method) | Tensile and in-planeshear properties | [49] |
Aluminium boronfibre | Piezoelectric + Piezomagnetic layer | FEM-Ansys (Classical laminate theory and Viscoplastic theory) | Mechanical properties and non-linear responses | [50] |
Graphite epoxy | PZT | FEM (Variational principle) | Material nonlinearity | [51] |
Graphite epoxy and glass epoxy | PZT | FEM-Ansys | Vibration | [52] |
Graphite epoxy | Trefnol-D | F.E.M. (Third order shear deformation theory | Non-linear static behaviour | [53] |
Graphite epoxy | PZT-4 | FEM (Virtual work principle) | Static parameters | [54] |
Graphite epoxy | PZT-5A | FEM (Maxwell’s equation) | Static- nonlinear | [55] |
Fibreglass | PZT | FEM (Strength-based approach) | Damage | [56] |
Kevlar carbon fibre | PVDF | FEM-Ansys (Dunn and Tayamicromechanical approach) | Degree of polarizationand mechanical and piezoelectric characteristics | [56] |
Composite strut andcomposite panel | PZT-5A | FEM | Optimum voltage | [58] |
Composite material | Piezoelectric material | Properties | Refs. |
CFRC | PZT | Mechanical properties (Electronic Universal Testing Machine) | [49] |
Fibreglass | PZT | Mechanical and electrical capacity (4-point bending test setup) | [56] |
Aramid | PZT + PVDF | Mechanical and electrical properties | [60] |
Material | Application | Characteristics | Refs. |
Carbon fibre with Mylar | Solar energy harvesting | Stiffness, payload capacity | [61] |
Composites with SMA wires and FBG | Morphing aircraft wings | Structural flexibility, low cross-link density | [63] |
Epoxy matrix with piezo-fibre | Smart projectile fin | [64] | |
Polymer composite with graphene-silver hybrid nanoparticles | Biomedical field | Storage modulus, electrical conductivity | [72] |
Composite matrix with luminescent ions | Solar light-harvesting, biomedical field | Optical and electrical properties | [73] |
Ceramic-composite with bioactive fillers | Bone tissue engineering | Piezoelectric property | [74] |
E-glass/epoxy composite with piezoelectric ceramic patches | Vibration control | Impact resistance | [76,77,78] |
Carbon epoxy smart composite | Damage detection | Vibro-acoustic properties | [81] |
Piezoelectric cylindrical composite with carbon nanotube | Structural health monitoring, dynamic stability | Wave propagation characteristics | [82,83,84,85,86,87,88,89] |