Citation: Roberta Sirovich, Luisa Testa. A new firing paradigm for integrate and fire stochastic neuronal models[J]. Mathematical Biosciences and Engineering, 2016, 13(3): 597-611. doi: 10.3934/mbe.2016010
[1] | Kenji Itao, Fumiya Omata, Yoshitaka Nishikawa, Tetsuro Oda, Toshiharu Sasaki, Cherri Zhang, John Solomon Maninang, Takayuki Yamaguchi . Threshold phenomena with respect to the initiation of depopulation in a simple model of foot-and-mouth disease. Mathematical Biosciences and Engineering, 2019, 16(5): 5931-5946. doi: 10.3934/mbe.2019297 |
[2] | Yangjun Ma, Maoxing Liu, Qiang Hou, Jinqing Zhao . Modelling seasonal HFMD with the recessive infection in Shandong, China. Mathematical Biosciences and Engineering, 2013, 10(4): 1159-1171. doi: 10.3934/mbe.2013.10.1159 |
[3] | Yong Li, Meng Huang, Li Peng . A multi-group model for estimating the transmission rate of hand, foot and mouth disease in mainland China. Mathematical Biosciences and Engineering, 2019, 16(4): 2305-2321. doi: 10.3934/mbe.2019115 |
[4] | Lei Shi, Hongyong Zhao, Daiyong Wu . Modelling and analysis of HFMD with the effects of vaccination, contaminated environments and quarantine in mainland China. Mathematical Biosciences and Engineering, 2019, 16(1): 474-500. doi: 10.3934/mbe.2019022 |
[5] | Chenxi Dai, ZhiWang, Weiming Wang, Yongqin Li, Kaifa Wang . Epidemics and underlying factors of multiple-peak pattern on hand, foot and mouth disease inWenzhou, China. Mathematical Biosciences and Engineering, 2019, 16(4): 2168-2188. doi: 10.3934/mbe.2019106 |
[6] | Muhammad Z. Ul Haque, Peng Du, Leo K. Cheng . A combined functional dorsal nerve model of the foot. Mathematical Biosciences and Engineering, 2022, 19(9): 9321-9334. doi: 10.3934/mbe.2022433 |
[7] | Chayu Yang, Jin Wang . A mathematical model for frogeye leaf spot epidemics in soybean. Mathematical Biosciences and Engineering, 2024, 21(1): 1144-1166. doi: 10.3934/mbe.2024048 |
[8] | Sheree L. Arpin, J. M. Cushing . Modeling frequency-dependent selection with an application to cichlid fish. Mathematical Biosciences and Engineering, 2008, 5(4): 889-903. doi: 10.3934/mbe.2008.5.889 |
[9] | Amar Nath Chatterjee, Fahad Al Basir, Yasuhiro Takeuchi . Effect of DAA therapy in hepatitis C treatment — an impulsive control approach. Mathematical Biosciences and Engineering, 2021, 18(2): 1450-1464. doi: 10.3934/mbe.2021075 |
[10] | Cunjuan Dong, Changcheng Xiang, Wenjin Qin, Yi Yang . Global dynamics for a Filippov system with media effects. Mathematical Biosciences and Engineering, 2022, 19(3): 2835-2852. doi: 10.3934/mbe.2022130 |
[1] | Queueing Systems, 10 (1992), 5-87. |
[2] | ORSA Journal on Computing, 7 (1995), 36-43. |
[3] | Stochastic Models, 21 (2005), 967-980. |
[4] | Ann. Appl. Probab., 12 (2002), 1071-1095. |
[5] | Scandinavian Journal of Statistics, 40 (2013), 274-293. |
[6] | Physical Review E, 78 (2008), 011918. |
[7] | Physical Review E, 81 (2010), 031916. |
[8] | Mathematical Biosciences and Engineering, 11 (2014), 189-201. |
[9] | Advances in Applied Probability, 19 (1987), 784-800. |
[10] | Biological Cybernetics, 95 (2006), 1-19. |
[11] | Biological Cybernetics, 95 (2006), 97-112. |
[12] | Journal of Theoretical Biology, 350 (2014), 81-89. |
[13] | Frontiers in Neural Circuits, 8 (2014), p11. |
[14] | Advances in Applied Probabability, 29 (1997), 165-184. |
[15] | Probabilistic Engineering Mechanics, 23 (2008), 170-179. |
[16] | Physical Review. E (3), 71 (2005), 011907, 9pp. |
[17] | Physical Review E, 73 (2006), 061910, 9pp. |
[18] | Journal of Mathematical Biology, 67 (2013), 453-481. |
[19] | Bulletin of Mathematical Biology, 75 (2013), 629-648. |
[20] | Proceedings of the Royal Society of Edinburgh: Section A Mathematics, 129 (1999), 57-75. |
[21] | Biophysical Journal, 4 (1964), 41-68. |
[22] | Cambridge University Press, 2002. |
[23] | Annals of Probability, 7 (1979), 244-266. |
[24] | Advances in Applied Probability, 21 (1989), 20-36. |
[25] | Neural Computation, 23 (2011), 1743-1767. |
[26] | Comm. Statist. Simulation Comput., 28 (1999), 1135-1163. |
[27] | Frontiers in Computational Neuroscience, 7 (2013), p131. |
[28] | Biological Cybernetics, 73 (1995), 209-221. |
[29] | in Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability (Univ. California, Berkeley, Calif., 1970/1971), Vol. III: Probability theory, Univ. California Press, Berkeley, Calif., 1972, 225-239. |
[30] | in Advances in Neural Information Processing Systems 18 (eds. Y. Weiss, B. Sch\"olkopf and J. Platt), MIT Press, 2006, 595-602. |
[31] | Springer-Verlag, 1991. |
[32] | Frontiers in Computational Neuroscience, 3 (2009), p9. |
[33] | Brain Research, 1536 (2013), 97-106. |
[34] | Mathematical Bioscience, 67 (1983), 247-260. |
[35] | Biological Cybernetics, 99 (2008), 253-262. |
[36] | Neural Computation, 16 (2004), 477-489. |
[37] | Journal of Computational Neuroscence, 21 (2006), 211-223. |
[38] | Courier Corporation, 1972. |
[39] | Physical Review E, 72 (2005), 021911, 21pp. |
[40] | Springer-Verlag, 2003. |
[41] | Bernoulli, 9 (2003), 1-24. |
[42] | Springer-Verlag, Berlin-New York, 1977. |
[43] | Biological Cybernetics, 35 (1979), 1-9. |
[44] | Physical Review E, 76 (2007), 021919. |
[45] | Cambridge University Press, Cambridge, 2000. |
[46] | in Stochastic Biomathematical Models, Lecture Notes in Math., 2058, Springer, Heidelberg, 2013, 99-148. |
[47] | Mathematical Bioscience, 39 (1978), 53-70. |
[48] | Lifetime Data Analysis, 21 (2015), 331-352. |
[49] | Physica D: Nonlinear Phenomena, 288 (2014), 45-52. |
[50] | Cambridge Studies in Mathematical Biology, 8, Cambridge University Press, Cambridge, 1988. |
[51] | Cambridge Studies in Mathematical Biology, 8, Cambridge University Press, Cambridge, 1988. |
[52] | The Journal of Neuroscience, 24 (2004), 3060-3069. |
1. | Mlyashimbi Helikumi, Moatlhodi Kgosimore, Dmitry Kuznetsov, Steady Mushayabasa, Backward Bifurcation and Optimal Control Analysis of a Trypanosoma brucei rhodesiense Model, 2019, 7, 2227-7390, 971, 10.3390/math7100971 | |
2. | Tinashe B. Gashirai, Senelani D. Hove-Musekwa, Steady Mushayabasa, Dynamical analysis of a fractional-order foot-and-mouth disease model, 2021, 15, 2008-1359, 65, 10.1007/s40096-020-00372-3 | |
3. | Tinashe B. Gashirai, Senelani D. Musekwa-Hove, Paride O. Lolika, Steady Mushayabasa, Global stability and optimal control analysis of a foot-and-mouth disease model with vaccine failure and environmental transmission, 2020, 132, 09600779, 109568, 10.1016/j.chaos.2019.109568 | |
4. | Junyuan Yang, Xiaoyan Wang, Kelu Li, Temporal-spatial analysis of a foot-and-mouth disease model with spatial diffusion and vaccination, 2022, 9, 2297-1769, 10.3389/fvets.2022.952382 | |
5. | Gui-Quan Sun, Hong-Tao Zhang, Li-Li Chang, Zhen Jin, Hao Wang, Shigui Ruan, On the Dynamics of a Diffusive Foot-and-Mouth Disease Model with Nonlocal Infections, 2022, 82, 0036-1399, 1587, 10.1137/21M1412992 | |
6. | Xiaoyan Wang, Hongquan Sun, Junyuan Yang, Temporal-spatial analysis of an age-space structured foot-and-mouth disease model with Dirichlet boundary condition, 2021, 31, 1054-1500, 053120, 10.1063/5.0048282 | |
7. | Ivan Sseguya, Joseph Y.T. Mugisha, Betty Nannyonga, Outbreak and control of Foot and Mouth Disease within and across adjacent districts—A mathematical perspective, 2022, 6, 26667207, 100074, 10.1016/j.rico.2021.100074 | |
8. | Junyuan Yang, Meijia Gong, Gui-Quan Sun, Asymptotical profiles of an age-structured foot-and-mouth disease with nonlocal diffusion on a spatially heterogeneous environment, 2023, 377, 00220396, 71, 10.1016/j.jde.2023.09.001 | |
9. | Umanga Gunasekera, Kimberly VanderWaal, Jonathan Arzt, Andres Perez, Foot-and-mouth disease reproduction number: a scoping review, 2025, 12, 2297-1769, 10.3389/fvets.2025.1576974 |