Map-based neuronal models have received much attention due to their high speed, efficiency, flexibility, and simplicity. Therefore, they are suitable for investigating different dynamical behaviors in neuronal networks, which is one of the recent hottest topics. Recently, the memristive version of the Rulkov model, known as the m-Rulkov model, has been introduced. This paper investigates the network of the memristive version of the Rulkov neuron map to study the effect of the memristor on collective behaviors. Firstly, two m-Rulkov neuronal models are coupled in different cases, through electrical synapses, chemical synapses, and both electrical and chemical synapses. The results show that two electrically coupled memristive neurons can become synchronous, while the previous studies have shown that two non-memristive Rulkov neurons do not synchronize when they are coupled electrically. In contrast, chemical coupling does not lead to synchronization; instead, two neurons reach the same resting state. However, the presence of both types of couplings results in synchronization. The same investigations are carried out for a network of 100 m-Rulkov models locating in a ring topology. Different firing patterns, such as synchronization, lagged-phase synchronization, amplitude death, non-stationary chimera state, and traveling chimera state, are observed for various electrical and chemical coupling strengths. Furthermore, the synchronization of neurons in the electrical coupling relies on the network's size and disappears with increasing the nodes number.
Citation: Mahtab Mehrabbeik, Fatemeh Parastesh, Janarthanan Ramadoss, Karthikeyan Rajagopal, Hamidreza Namazi, Sajad Jafari. Synchronization and chimera states in the network of electrochemically coupled memristive Rulkov neuron maps[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 9394-9409. doi: 10.3934/mbe.2021462
[1] | Wei Qi . The polycyclic codes over the finite field Fq. AIMS Mathematics, 2024, 9(11): 29707-29717. doi: 10.3934/math.20241439 |
[2] | Xiying Zheng, Bo Kong, Yao Yu . Quantum codes from σ-dual-containing constacyclic codes over Rl,k. AIMS Mathematics, 2023, 8(10): 24075-24086. doi: 10.3934/math.20231227 |
[3] | Fatma Zehra Uzekmek, Elif Segah Oztas, Mehmet Ozen . (θi,λ)-constacyclic codes and DNA codes over Z4+uZ4+u2Z4. AIMS Mathematics, 2024, 9(10): 27908-27929. doi: 10.3934/math.20241355 |
[4] | Hongfeng Wu, Li Zhu . Repeated-root constacyclic codes of length p1pt2ps and their dual codes. AIMS Mathematics, 2023, 8(6): 12793-12818. doi: 10.3934/math.2023644 |
[5] | Irwansyah, Intan Muchtadi-Alamsyah, Fajar Yuliawan, Muhammad Irfan Hidayat . Generalized Reed-Solomon codes over number fields and exact gradient coding. AIMS Mathematics, 2024, 9(4): 9508-9518. doi: 10.3934/math.2024464 |
[6] | Yanyan Gao, Yangjiang Wei . Group codes over symmetric groups. AIMS Mathematics, 2023, 8(9): 19842-19856. doi: 10.3934/math.20231011 |
[7] | Ted Hurley . Ultimate linear block and convolutional codes. AIMS Mathematics, 2025, 10(4): 8398-8421. doi: 10.3934/math.2025387 |
[8] | Yuezhen Ren, Ruihu Li, Guanmin Guo . New entanglement-assisted quantum codes constructed from Hermitian LCD codes. AIMS Mathematics, 2023, 8(12): 30875-30881. doi: 10.3934/math.20231578 |
[9] | Chaofeng Guan, Ruihu Li, Hao Song, Liangdong Lu, Husheng Li . Ternary quantum codes constructed from extremal self-dual codes and self-orthogonal codes. AIMS Mathematics, 2022, 7(4): 6516-6534. doi: 10.3934/math.2022363 |
[10] | Hao Song, Yuezhen Ren, Ruihu Li, Yang Liu . Optimal quaternary Hermitian self-orthogonal [n,5] codes of n≥492. AIMS Mathematics, 2025, 10(4): 9324-9331. doi: 10.3934/math.2025430 |
Map-based neuronal models have received much attention due to their high speed, efficiency, flexibility, and simplicity. Therefore, they are suitable for investigating different dynamical behaviors in neuronal networks, which is one of the recent hottest topics. Recently, the memristive version of the Rulkov model, known as the m-Rulkov model, has been introduced. This paper investigates the network of the memristive version of the Rulkov neuron map to study the effect of the memristor on collective behaviors. Firstly, two m-Rulkov neuronal models are coupled in different cases, through electrical synapses, chemical synapses, and both electrical and chemical synapses. The results show that two electrically coupled memristive neurons can become synchronous, while the previous studies have shown that two non-memristive Rulkov neurons do not synchronize when they are coupled electrically. In contrast, chemical coupling does not lead to synchronization; instead, two neurons reach the same resting state. However, the presence of both types of couplings results in synchronization. The same investigations are carried out for a network of 100 m-Rulkov models locating in a ring topology. Different firing patterns, such as synchronization, lagged-phase synchronization, amplitude death, non-stationary chimera state, and traveling chimera state, are observed for various electrical and chemical coupling strengths. Furthermore, the synchronization of neurons in the electrical coupling relies on the network's size and disappears with increasing the nodes number.
Cyclically permutable codes (CPCs), originally introduced by Gilbert in the early 1960s [1], make up a binary block code of code length n such that each codeword has a cyclic order n and the codewords are cyclically distinct. CPCs have many applications in communication networks, for example, as protocol sequences [2,3], and in watermarking systems [4]. Additionally, non-binary CPCs have applications in direct sequence code division multiple access systems with asynchronous base stations [5], as well as in the construction of frequency-hopping sequence sets [6,7,8,9]. Therefore, they are the focus of great theoretical interest and have practical significance in the study and exploration of q-ary CPCs [5,6,10,11,12,13,14].
Cyclic codes are considered important in theoretical studies because they posses a very rich mathematical structure. So, it seems possible to provide a useful framework to generate CPCs by choosing the codewords that are cyclically distinct and have maximal cyclic order. More specifically, one has an equivalence relationship for any cyclic code C: Two codewords of C are said to be equivalent if one can be obtained from the other by applying the cyclic shift a certain number of times. The equivalence class whose elements have full cyclic order is called a nonperiodic cyclic equivalence class (see [15] or [8]). Picking up exactly one member from each of the nonperiodic cyclic equivalence classes of C yields a CPC, which is denoted by C′. Note that C′ is certainly not unique by its very definition, and that C′ is a CPC that is derived from C with the largest possible code size. There are two basic questions that are attractive for mathematical investigations and practical applications: Q1: how to determine the exact value of |C′| for a given arbitrary cyclic code C where |C′| denotes the size of C′; Q2: how to find a general construction scheme that produces C′ for an arbitrary cyclic code C.
Making use of a combinatorial technique known as the Möbius inversion formula, a group of authors, first in [16] and consequently in [17], found enumerative formulas for the value of |C′|, where C is a binary simple-root cyclic code. Song et al. [8] also utilized the Möbius function to obtain an enumerative formula for the size of C′, where C is a Reed-Solomon (RS) code. Combining the Möbius inversion formula with some elementary properties of cyclic codes, Xia and Fu [18] determined the value of |C′|, where C is a q-ary simple-root cyclic code.
Compared with Q1, it seems that the method for deriving CPCs from a general cyclic code is still a challenging problem, even for the binary case. Maracle and Wolverton [13] provided an efficient algorithm to generate cyclically inequivalent subsets. In [18], Xia and Fu presented several algebraic constructions of subcodes of C′, where the codes C are particular classes of cyclic codes. Here, by using the check polynomial approach, Xia and Fu obtained subcodes of C′ from special classes of cyclic codes C, all of which have code sizes that are strictly less than |C′|. Kuribayashi and Tanaka [19] first provided an efficient and systematic method to construct a C′ from a binary cyclic code C when the code length n is a Mersenne prime, i.e., n is a prime number in the form 2m−1 for some m. Lemos-Neto and da Rocha [12] gave a necessary and sufficient condition on the generator polynomial of a cyclic code C under which any nonzero codeword of C has full cyclic order; further, in the same paper [12], the authors continued to provide an effective method to find CPCs from C, where C is a cyclic code of length n=qm−1. Nguyen et al. [3] proposed a novel procedure to obtain CPCs from RS codes of lengths p−1 and p+1, respectively, where p is a prime number. Using the discrete Fourier transform, Yang et al. [20] developed an efficient algorithm to produce a CPC from a p-ary cyclic code, where p is a prime number. Extending the results of [3,20], Cho et al. [21] proposed an effective algorithm to generate CPCs from a prime-length cyclic code. Recently, Bastos and Lemos-Neto [22] presented a method to obtain a CPC from a simple-root cyclic code by using the x-cyclotomic coset. More specifically, the determinant of codewords of C′ is dependent on that of the x-cyclotomic coset modulo h(x), where h(x) is a divisor of xn−1.
In this paper, we aim to give the generalization of CPCs, which are called constacyclically permutable codes (CCPCs), and to introduce a method to derive a CCPC from a given constacyclic code. More specifically, let C be a given λ-constacyclic code of length n over F, where λ is a nonzero element of F with order t, and ϕ be the cyclic shift of C. Two codewords c1,c2 of C are said to be equivalent if there is an integer r such that ϕr(c1)=c2. In other words, the cyclic subgroup ⟨ϕ⟩ of the automorphism group of C generated by the cyclic shift ϕ acts naturally on the constacyclic code C; then, c1 and c2 are equivalent if and only if they are in the same orbit. For an element c of C, if the length of the orbit containing c is nt, that is, nt is the least positive integer satisfying that ϕnt(c)=c, then we state that c has full constacyclic order. The orbit of size nt is called the nonperiodic constacyclic equivalence class. A CCPC generated from C is formed by taking exactly one element from each nonperiodic constacyclic equivalence class of C, denoted still as C′. Similar to the case of CPCs, we focus on solving the following problem: For a given arbitrary constacyclic code C, we want to determine the exact value of |C′|, where |C′| denotes the size of C′, and to find a general construction scheme that produces C′. To this end, we use the language of group actions to reinterpret that C′ is merely a representative of the n-length orbits of ⟨ϕ⟩ on C, where ⟨ϕ⟩ is the cyclic subgroup of the automorphism group of C generated by the cyclic shift ϕ. One of the advantages of our new approach lies in that the codewords of C are presented in terms of the primitive idempotents of C. Based on this approach, we present a new enumerative formula for the code size of such a CCPC with all of the terms being positive integers. On the other hand, we provide an algebraic method to produce such a CCPC.
This paper is organized as follows. We provide the basic notation and some results about constacyclic codes in Section 2. An enumerative formula for the exact value of |C′| is given in Section 3. Section 4 proposes an effective method to generate C′, where C is any simple-root constacyclic code, and presents an example to illustrate our main results.
Let q be a prime power and n be a positive integer that is coprime with q. Let Fq denote a finite field with q elements and F×q denote the set of all nonzero elements of Fq, that is, F×q=Fq∖{0}. Let x be an indeterminate over Fq and Fq[x] be the polynomial ring in variable x with coefficients in Fq. Let Z be the set of integers, Z+ be the set of the positive integers, and N be the set of non-negative integers. For s∈N, let [0,s] denote the set {0,1,2,⋯,s}. For any finite number of integers a1,a2,⋯,aν which are not all equal to 0, we denote their greatest common divisor by gcd(a1,a2,⋯,aν); for any finite number of integers a1,a2,⋯,aν, none of which is equal to 0, denote their least common multiple by lcm(a1,a2,⋯,aν), where ν≥2 is a positive integer. We use the notation H≤G to indicate that H is a subgroup of G. For the set S, let |S| denote the number of elements of S. For a,b∈Z, we use a|b to denote that a divides b.
Let us review the definition of a constacyclic code. Let λ be a nonzero element of Fq, that is, λ∈F×q. Let ϕ be the cyclic shift, as follows:
c=(c0,c1,⋯,cn−1)↦ϕ(c)=(λcn−1,c0,⋯,cn−2). |
A linear code C is λ-constacyclic if c∈C implies that ϕ(c)∈C. When λ=1, the λ-constacyclic code is the usual cyclic code. Since we may associate each codeword (c0,c1,⋯,cn−1) in C with a polynomial c0+c1x+⋯+cn−1xn−1 in the quotient ring Fq[x]/⟨xn−λ⟩, a λ-constacyclic code of length n over Fq is an ideal of the quotient ring Fq[x]/⟨xn−λ⟩. Write R=Fq[x]/⟨xn−λ⟩. If c=(c0,c1,⋯,cn−1) is regarded as a polynomial c(x)=c0+c1x+⋯+cn−1xn−1, then ϕ(c)=ϕ(c(x))=xc(x) in R. Note that R is a principal ideal domain. Hence there is a unique monic polynomial g(x) of minimum degree in the constacyclic code C. This polynomial generates C, that is, C=⟨g(x)⟩, and it is called the generator polynomial for C (e.g., see [23,24]).
In this section, we explore another approach to describe constacyclic codes, involving a different type of generating polynomial other than the generator polynomial. A polynomial e(x)∈R is said to be idempotent in R if e2(x)=e(x). Since gcd(n,q)=1, any constacyclic code C is generated by an idempotent, that is, there exists an idempotent e(x) in R such that C=⟨e(x)⟩=Re(x) (see [23]). Two idempotents e(x) and f(x) are called orthogonal if e(x)f(x)=0 in R. A nonzero idempotent e(x) in R is called primitive if it cannot be written as the sum of two nonzero orthogonal idempotents in R.
Let t be the multiplication order of λ. Then, t|(q−1), which implies that gcd(q,t)=1. Noting that gcd(q,n)=1, we have that gcd(q,nt)=1. Let m be the least integer such that (nt)|(qm−1) and Fqm be the finite field with qm elements. Then, there exists a primitive (nt)th root η of unity in F×qm such that λ=ηn. Thus, xn−λ=n−1∏j=0(x−η1+tj). Let
C0={(1+t⋅i0)qj|j∈Z}={1,q,q2,⋯,qk0−1};C1={(1+t⋅i1)qj|j∈Z}={1+ti1,(1+ti1)q,(1+ti1)q2,⋯,(1+ti1)qk1−1};⋮Cs={(1+t⋅is)qj|j∈Z}={1+tis,(1+tis)q,(1+tis)q2,⋯,(1+tis)qks−1}, |
where 0=i0<i1<i2<⋯<is≤n−1 and kj is the smallest positive integer such that 1+t⋅ij≡(1+t⋅ij)qkj(modnt) for 0≤j≤s. Therefore, C0,C1,⋯,Cs are all distinct q-cyclotomic cosets modulo nt and form a partition of the set {1+ti|i=0,1,⋯,n−1}. Clearly, |Cj|=qkj,j=0,1,⋯,s.
Now, consider the factorization
xn−λ=s∏v=0mv(x) |
of xn−λ as irreducible factors over Fq, where for v=0,1,⋯,s,
mv(x)=∏j∈Cv(x−ηj). |
According to the Chinese remainder theorem, we have that
R≅Fq[x]/⟨m0(x)⟩⊕Fq[x]/⟨m1(x)⟩⊕⋯⊕Fq[x]/⟨ms(x)⟩. |
For v=0,1,⋯,s, we let Mv(x)=xn−λmv(x) and Iv=Fq[x]/⟨mv(x)⟩. Then,
Iv=Fq[x]/⟨mv(x)⟩≅⟨Mv(x)⟩,v=0,1,⋯,s. |
Hence, Iv is a minimal code in R with the generator polynomial Mv(x), as well as a finite field with qkv elements for v=0,1,⋯,s.
Let θ0(x),θ1(x),⋯,θs(x) be all primitive idempotents in R (see, for example, [25]). In fact, θv(x) is the generating idempotent of minimal code Iv, that is, Iv=⟨θv(x)⟩=Rθv(x). All of the primitive idempotents in R have the following property: For 0≤i,j≤s,
θi(x)θj(x)={θi(x),i=j;0,i≠j. |
Let f(x)=n−1∑i=0aixi∈R, and let
f(x)=mv(x)ψ(x)+r(x), |
where deg(r(x))<kv and 0≤v≤s. Then since there exists a polynomial φ(x) such that θv(x)=φ(x)Mv(x) (please see [26,Theorem 7.4.9]), we obtain that
f(x)θv(x)=mv(x)θv(x)ψ(x)+r(x)θv(x)=mv(x)φ(x)Mv(x)ψ(x)+r(x)θv(x)=(xn−λ)φ(x)ψ(x)+r(x)θv(x)=r(x)θv(x). |
Hence, for v=0,1,⋯,s,
Iv=Rθv(x)={f(x)θv(x)|f(x)∈R}={kv−1∑j=0ajxjθv(x)|aj∈Fq}. | (2.1) |
In addition, the representation of each element in Iv is unique; thus |Iv|=qkv.
For the quotient ring Fqm[x]/⟨xn−λ⟩, there are n primitive idempotents (see, for example, [25]):
e1+tj(x)=1nn−1∑u=0η−u(1+tj)xu,j=0,1,⋯,n−1. | (2.2) |
Then, for every u with 0≤u≤n−1,
n−1∑j=0ηu(1+tj)e1+tj(x)=n−1∑j=0ηu(1+tj)⋅1nn−1∑v=0η−v(1+tj)xv=1nn−1∑j=0n−1∑v=0η(u−v)(1+tj)xv=xu. |
This shows that
xu=n−1∑j=0ηu(1+tj)e1+tj(x). | (2.3) |
In what follows, we determine the explicit formula for the primitive idempotents θv(x)′s. Assume that θv(x)=n−1∑u=0buxu. Then,
1nn−1∑j=0θv(η1+tj)η−u(1+tj)=1nn−1∑j=0n−1∑κ=0bκη(1+tj)κη−u(1+tj)=1nn−1∑j=0n−1∑κ=0bκη(1+tj)(u−κ)=1nn−1∑κ=0bκn−1∑j=0η(1+tj)(κ−u)=bu. |
That is to say,
bu=1nn−1∑j=0θv(η1+tj)η−u(1+tj). | (2.4) |
On the other hand, since θv(x) is idempotent, we have that θ2v(x)=θv(x) in R; thus θ2v(ηj)=θv(ηj) for j≥1. Therefore, θv(ηj)=0 or 1. But, according to [26, Theorem 7.4.12], θv(x) and Mv(x) have the same zeros among the n-th roots of λ; thus
θv(ηj)={0,ifj∉Cv;1,ifj∈Cv. |
Therefore,
bu=1n∑j∈Cvη−uj. | (2.5) |
Thus, by (2.2) and (2.5), we deduce that
θv(x)=n−1∑u=0buxu=1nn−1∑u=0∑j∈Cvη−ujxu=∑j∈Cvej(x). | (2.6) |
Hence, we can use θv(x) to determine all of the elements of Iv in (2.1), as follows:
kv−1∑j=0ajxjθv(x)=kv−1∑j=0ajn−1∑κ=0ηj(1+tκ)e1+tκ(x)∑u∈Cveu(x)=kv−1∑j=0ajs∑ℓ=0∑κ∈Cℓηjκeκ(x)∑u∈Cveu(x)=kv−1∑j=0ajs∑ℓ=0∑κ∈Cℓηjκ∑u∈Cveκ(x)eu(x)=kv−1∑j=0aj∑κ∈Cvηjκeκ(x)=kv−1∑j=0ajkv−1∑u=0ηj(1+tiv)que(1+tiv)qu(x)=kv−1∑j=0kv−1∑u=0ajηj(1+tiv)que(1+tiv)qu(x). |
Therefore, we get that
R=Rθ0(x)⊕Rθ1(x)⊕⋯⊕Rθs(x), | (2.7) |
where
Rθv(x)={kv−1∑j=0kv−1∑u=0ajηj(1+tiv)que(1+tiv)qu(x)|aj∈Fq}, | (2.8) |
for v=0,1,⋯,s.
Let C be a λ-constacyclic code. Then, we can write
C=⨁j∈JRθj(x), | (2.9) |
where J is a nonempty subset of [0,s], and further denote the following:
C♯=⨁j∈JRθj(x)∖{0}. | (2.10) |
In this section, we aim to obtain a closed formula for the exact value of |C′| for a given constacyclic code C. To this end, we explore the characterization of codewords of C with full constacyclic orders.
Lemma 3.1. Let a,b,iv,u∈N and a≡b(modn). Then, as two elements of R we have
η−a(1+tiv)quxa=η−b(1+tiv)quxb. |
Proof. Assume that b=ns+a(s∈Z). Then,
η−b(1+tiv)quxb=η−(ns+a)(1+tiv)quxns+a=η−a(1+tiv)quxa⋅η−ns(1+tiv)quxns. |
Notice that xn=λ=ηn and λ is an element of order t; we have
η−ns(1+tiv)quxns=η−ns(1+tiv)quηns=η−nstivqu=λ−tivqu=1. |
This proves the result.
Lemma 3.2. Assume that r is a positive integer and v∈[0,s]. Let
a(x)=kv−1∑j=0kv−1∑u=0ajηj(1+tiv)que(1+tiv)qu(x)∈Rθv(x), |
where aj∈Fq for 0≤j≤kv−1. Then,
(1)ϕr(e(1+tiv)qu(x))=ηr(1+tiv)que(1+tiv)qu(x);
(2)ϕr(a(x))=kv−1∑j=0kv−1∑u=0ajη(j+r)(1+tiv)que(1+tiv)qu(x);
(3)ϕr(a(x))=a(x) if and only if ntgcd(n,1+tiv)|r.
Proof. (1) By (2.2) and Lemma 3.1, we have
ϕr(e(1+tiv)qu(x))=xre(1+tiv)qu(x)=xr⋅1nn−1∑j=0η−j(1+tiv)quxj=ηr(1+tiv)qu⋅1nn−1∑j=0η−(j+r)(1+tiv)quxj+r=ηr(1+tiv)que(1+tiv)qu(x). |
This proves part (1).
(2) From (1) above, it follows that
ϕr(a(x))=kv−1∑j=0kv−1∑u=0ajηj(1+tiv)quϕr(e(1+tiv)qu(x))=kv−1∑j=0kv−1∑u=0ajηj(1+tiv)qu⋅ηr(1+tiv)que(1+tiv)qu(x)=kv−1∑j=0kv−1∑u=0ajη(j+r)(1+tiv)que(1+tiv)qu(x). |
This proves part (2).
(3) By part (2), we see that ϕr(a(x))=a(x) if and only if ηr(1+tiv)qu=1. Notice that gcd(nt,qu)=1, gcd(t,1+tiv)=1, and gcd(ntgcd(nt,1+tiv),1+tivgcd(nt,1+tiv))=1. It follows that
ϕr(a(x))=a(x)⇔(nt)|r(1+tiv)qu⇔(nt)|r(1+tiv)⇔ntgcd(nt,1+tiv)|r1+tivgcd(nt,1+tiv)⇔ntgcd(n,1+tiv)|r. |
This concludes the proof.
Based on the preliminaries above, the next two results can be used to characterize the codewords with full constacyclic order for a given constacyclic code, which are discussed for the irreducible and reducible cases. These can be attributed to some number theory conditions.
Lemma 3.3. Let v∈[0,s] and C=Rθv(x) be an irreducible constacyclic code generated by the primitive idempotent θv(x) as shown in (2.8). Then, we have the following:
(1) If gcd(n,1+tiv)=1, then every nonzero element of C has full constacyclic order.
(2) If gcd(n,1+tiv)≠1, then none of the nonzero elements of C has full constacyclic order.
Proof. (1) Suppose that gcd(n,1+tiv)=1. Let a(x) be an arbitrary element in C and r0 be the least positive integer such that ϕr0(a(x))=a(x). Since ϕnt(a(x))=a(x), we have that r0|(nt). On the other hand, by Lemma 3.2(3), we get that (nt)|r0. Therefore, r0=nt, i.e., every nonzero element of C has full constacyclic order.
(2) Suppose that gcd(n,1+tiv)≠1. Set r′0=ntgcd(nt,1+tiv). Then, r′0<nt and, by Lemma 3.2(3), it follows that ϕr′0(a(x))=a(x) for every nonzero element a(x), which implies that none of the nonzero elements of C has full constacyclic order.
Lemma 3.4. Let u≥2 be an integer, and let J={j1,j2,⋯,ju}⊆[0,s] with 0≤j1<j2<⋯<ju≤s. Let C be a constacyclic code, as shown in (2.9), and C♯ be as in (2.10). Then, we have the following:
(1) If gcd(n,1+tij1,1+tij2,⋯,1+tiju)=1, then every nonzero element of C♯ has full constacyclic order.
(2) If gcd(n,1+tij1,1+tij2,⋯,1+tiju)≠1, then none of the nonzero elements of C♯ has full constacyclic order.
Proof. Let a(x)=a1(x)+a2(x)+⋯+au(x) be an arbitrary element in C♯, where aℓ(x)∈Rθjℓ(x) for ℓ=0,1,⋯,u, and s0 be the least positive integer such that ϕs0(a(x))=a(x). Since ϕnt(a(x))=a(x), we have that s0|(nt). On the other hand, we see that ϕs0(a(x))=a(x) if and only if ϕs0(aℓ(x))=aℓ(x) for ℓ=0,1,⋯,u. By Lemma 3.2(3), we get that ϕs0(aℓ(x))=aℓ(x) for ℓ=0,1,⋯,u if and only if
ntgcd(nt,1+tijℓ)|s0, |
for ℓ=0,1,⋯,u. Further, ntgcd(nt,1+tijℓ)|s0 for ℓ=0,1,⋯,u if and only if
lcm(ntgcd(nt,1+tij1),ntgcd(nt,1+tij2),⋯,ntgcd(nt,1+tiju))|s0. |
By induction on u, we can easily prove the equality, as follows:
lcm(ntgcd(nt,1+tij1),ntgcd(nt,1+tij2),⋯,ntgcd(nt,1+tiju))=ntgcd(n,1+tij1,1+tij2,⋯,1+tiju). |
Therefore, ntgcd(nt,1+tijℓ)|s0 for ℓ=0,1,⋯,u if and only if
ntgcd(n,1+tij1,1+tij2,⋯,1+tiju)|s0. |
(1) Suppose that gcd(n,1+tij1,1+tij2,⋯,1+tiju)=1. Then, we get (nt)|s0. Hence, s0=nt. Therefore, every nonzero element of C♯ has full constacyclic order.
(2) Suppose that gcd(n,1+tij1,1+tij2,⋯,1+tiju)≠1. Set
s′0=ntgcd(n,1+tij1,1+tij2,⋯,1+tiju). |
Then, s′0<nt. According to the above proof, we can see that ϕr(a(x))=a(x) for a(x)∈C♯ if and only if
ntgcd(n,1+tij1,1+tij2,⋯,1+tiju)|r. |
So ϕs′0(a(x))=a(x). Since s′0<nt, a(x) has no full constacyclic order. a(x) is arbitrary, implying that none of the nonzero elements of C♯ has full constacyclic order.
Let C be a constacyclic code, as shown in (2.9) with J={j1,j2,⋯,ju}⊆[0,s], where 0≤j1<j2<⋯<ju≤s. That is,
C=Rθj1(x)⊕Rθj2(x)⊕⋯⊕Rθju(x). | (3.1) |
Then,
C♯=Rθj1(x)∖{0}⊕Rθj2(x)∖{0}⊕⋯⊕Rθju(x)∖{0}. | (3.2) |
For 1≤v≤u, let
Θv={{jℓ1,jℓ2,⋯,jℓv}|1≤ℓ1<ℓ2<⋯<ℓv≤u,gcd(n,1+tijℓ1,1+tijℓ2,⋯,1+tijℓv)=1}. | (3.3) |
For {jℓ1,jℓ2,⋯,jℓv}∈Θv, set
C♯ℓ1,ℓ2,⋯,ℓv=Rθjℓ1(x)∖{0}⊕Rθjℓ2(x)∖{0}⊕⋯⊕Rθjℓv(x)∖{0}. | (3.4) |
Thus according to the characterization conditions above about the codewords with full constacyclic order, the following result is easily obtained, which determines the exact value of |C′| for a given arbitrary constacyclic code C.
Theorem 3.5. Let the notation be as above. Let C be a constacyclic code, as shown in (3.1). Then, the following holds:
(1) The elements of C with full constacyclic order are given by
u⋃v=1⋃{jℓ1,jℓ2,⋯,jℓv}∈ΘvC♯ℓ1,ℓ2,⋯,ℓv. |
(2) |C′| is given as follows:
|C′|=1ntu∑v=1∑{jℓ1,jℓ2,⋯,jℓv}∈Θvv∏ρ=1(qkjℓρ−1). |
Proof. (1) It follows from Lemmas 3.3 and 3.4.
(2) According to the definition of C′, and based on the result of (1), we have
(nt)|C′|=u∑v=1∑{jℓ1,jℓ2,⋯,jℓv}∈Θv|C♯ℓ1,ℓ2,⋯,ℓv|. |
Since
|C♯ℓ1,ℓ2,⋯,ℓv|=v∏ρ=1(qkjℓρ−1), |
we obtain the desired result.
In this section, we delve more deeply into the structure of CCPCs, paying particular attention to the elements of C′ for a given constacyclic code C. First, we describe the observation. Recall that, for v∈[0,s] the irreducible code Rθv(x) is given by
Rθv(x)={kv−1∑j=0kv−1∑u=0ajηj(1+tiv)que(1+tiv)qu(x)|aj∈Fq}. |
Notice the following fact about the element of Rθv(x):
kv−1∑j=0kv−1∑u=0ajηj(1+tiv)que(1+tiv)qu(x)=kv−1∑u=0(kv−1∑j=0ajηj(1+tiv))que(1+tiv)qu(x). |
And, when aj runs through Fq, ∑kv−1j=0ajηj(1+tiv) just runs through finite field Fqkv. Then, Rθv(x) can be expressed, as follows:
Rθv(x)={kv−1∑u=0ωque(1+tiv)qu(x)|ω∈Fqkv}. | (4.1) |
For every v∈[0,s], Rθv(x)=Fqkv is a finite field; we can denote its primitive element by γv, which generates the cyclic group F×qkv=Fqkv∖{0}. If gcd(n,1+tiv)=1, then there is the decomposition of the left cosets of ⟨η1+tiv⟩=⟨η⟩ in F×qkv=Fqkv∖{0}, as follows:
F×qkv=⟨η1+tiv⟩∪γv⟨η1+tiv⟩∪⋯γqkv−1nt−1v⟨η1+tiv⟩. | (4.2) |
We first consider irreducible constacyclic codes.
Theorem 4.1. Let C=Rθv(x) be an irreducible constacyclic code over Fq, where v∈[0,s]. Suppose that gcd(n,1+tiv)=1, and keep the notation as in (4.2). Then,
C′={kv−1∑u=0γℓquve(1+tiv)qu(x)|0≤ℓ≤qkv−1nt−1}. |
is a CCPC of size qkv−1nt.
Proof. By Lemma 3.3, every nonzero element of C has full constacyclic order. Suppose that
a(x)=kv−1∑u=0ωqu1e(1+tiv)qu(x)∈Rθv(x)∖{0}; |
b(x)=kv−1∑u=0ωqu2e(1+tiv)qu(x)∈Rθv(x)∖{0}, |
where ω1,ω2∈Fqkv. If there exists r such that ϕr(a(x))=b(x), then, by Lemma 3.2(2), we see that
ϕr(a(x))=kv−1∑u=0(ηr(1+tiv)ω1)que(1+tiv)qu(x)=b(x)=kv−1∑u=0ωqu2e(1+tiv)qu(x). |
Therefore, ϕr(a(x))=b(x) if and only if ηr(1+tiv)ω1=ω2, which implies that ω1 and ω2 make up the same left coset of ⟨η1+tiv⟩=⟨η⟩ in F×qkv=Fqkv∖{0}. Therefore, according to (4.2), we obtain the desired result.
In what follows, we consider the case when C is a reducible constacyclic code. Let C be as in (3.1), where u≥2. For simplicity, we write
ακ=jℓκ,κ=1,2,⋯,v. |
mκ=(qkακ−1)gcd(n,1+tiακ)nt,κ=1,2,⋯,v; |
nκ=ntgcd(n,1+tiα1,1+tiα2,⋯,1+tiακ)gcd(n,1+tiα1,1+tiα2,⋯,1+tiακ−1)gcd(n,1+tiακ),κ=2,3,⋯,v. |
We set
G1=v⨁κ=1Rθακ(x)∖{0}=v⨁κ=1Fqακ∖{0}=v⨁κ=1F×qακ.G2=v⨁κ=1⟨η1+tiακ⟩=⟨η1+tiα1⟩⊕⟨η1+tiα2⟩⊕⋯⊕⟨η1+tiαv⟩.G3=⟨v∑κ=1η1+tiακ⟩=⟨η1+tiα1+η1+tiα2+⋯+η1+tiαv⟩. |
Then G3≤G2≤G1.
Suppose that γακ is the primitive element of the finite field Fqkακ=Fqkjℓκ, that is to say, F×qkακ=⟨γακ⟩ for κ=1,2,⋯,v.
Our goal now is to construct a coset decomposition of G3 in G1. First, for κ=1,2,⋯,v,
F×qkακ=mκ−1⋃εκ=0γεκακ⟨η1+tiακ⟩. |
Then, there exists a coset decomposition of the subgroup G2 in G1:
G1=m1−1⋃ε1=0m2−1⋃ε2=0⋯mv−1⋃εv=0(v∑κ=1γεκακ)G2. |
Next, the routine check shows that there is a coset decomposition of the subgroup G3 in G2:
G2=n2−1⋃σ2=0⋯nv−1⋃σv=0{(θ1+tiα1+θσ2(1+tiα2)+⋯+θσv(1+tiαv))G3}=n2−1⋃σ2=0⋯nv−1⋃σv=0{(v∑j=1θσj(1+tiαj))G3}, | (4.3) |
where σ1=1.
Therefore, the coset decomposition of the subgroup G3 in G1 is given as follows:
G1=m1−1⋃ε1=0m2−1⋃ε2=0⋯mv−1⋃εv=0n2−1⋃σ2=0⋯nv−1⋃σv=0{(v∑κ=1γεκακ)(v∑j=0θσj(1+tiαj))G3}=m1−1⋃ε1=0m2−1⋃ε2=0⋯mv−1⋃εv=0n2−1⋃σ2=0⋯nv−1⋃σv=0{v∑κ=1v∑j=1(γεκακ⋅θσj(1+tiαj))G3}. | (4.4) |
We are now in a position to determine a CCPC from a given constacyclic code.
Theorem 4.2. Apply the notation as above. Let C be a constacyclic code with the decomposition of the form as in (3.1). Then,
C′=u⋃v=1⋃{jℓ1,jℓ2,⋯,jℓv}∈Θvm1−1⋃ε1=0m2−1⋃ε2=0⋯mv−1⋃εv=0n2−1⋃σ2=0⋯nv−1⋃σv=0{v∑ϵ=1v∑κ=1v∑j=1kαϵ−1∑u=0(γεκακ⋅θσj(1+tiαj))que(1+tiαϵ)qu(x)}. | (4.5) |
is a CCPC of size
1ntu∑v=1∑{jℓ1,jℓ2,⋯,jℓv}∈Θvv∏ρ=1(qkjℓρ−1) |
where Θv is as shown in (3.3).
Proof. Let {jℓ1,jℓ2,⋯,jℓv}∈Θv, where 1≤v≤u. Now, we only need to consider the following subcode:
Rθjℓ1(x)⊕Rθjℓ2(x)⊕⋯⊕Rθjℓv(x). |
Note that, for 1≤ϵ≤v,
Rθαϵ(x)=Rθjℓϵ(x)={kαϵ−1∑u=0ωque(1+tiαϵ)qu(x)|ω∈Fqkαϵ}. |
Assume that
f(x)=v∑ϵ=1aϵ(x)∈v⨁ϵ=1Rθαϵ(x);g(x)=v∑ϵ=1bϵ(x)∈v⨁ϵ=1Rθαϵ(x), |
where
aϵ(x)=kαϵ−1∑u=0ωqu1ϵe(1+tiαϵ)qu(x)∈Rθαϵ(x),ω1ε∈Fqkαϵ,∀1≤ϵ≤v; |
bϵ(x)=kαϵ−1∑u=0ωqu2ϵe(1+tiαϵ)qu(x)∈Rθαϵ(x),ω2ε∈Fqkαϵ,∀1≤ϵ≤v. |
Then, for any r∈Z+, ϕr(f(x))=g(x) if and only if
g(x)=v∑ϵ=1kαϵ−1∑u=0ωqu2εe(1+tiαϵ)qu(x)=ϕr(f(x))=v∑ϵ=1kαϵ−1∑u=0(ηr(1+tiαϵ)ω1ϵ)que(1+tiαϵ)qu(x), |
which holds if and only if
ηr(1+tiαϵ)ω1ϵ=ω2ϵ,ϵ=1,2,⋯,v, |
which shows that both ∑vϵ=1ω1ϵ and ∑vϵ=1ω2ϵ are in the same coset of
⟨v∑κ=1η1+tiακ⟩=⟨η1+tiα1+η1+tiα2+⋯+η1+tiαv⟩=G3 |
in the group
v⨁κ=1Rθακ(x)∖{0}=v⨁κ=1Fqακ∖{0}=v⨁κ=1F×qακ=G1. |
By virtue of the result shown in (4.4), we immediately obtain this theorem.
At the end of this section, we present an example to illustrate our main results.
Example 4.3. Let q=5,n=18, and λ=4. All 5-cyclotomic cosets are as follows:
C0={1,5,25,17,13,29},C1={3,15},C2={7,35,31,11,19,23},C3={9},C4={21,33},C5={27}. |
Then, t=2 and
i0=0,i1=1,i2=3,i3=4,i4=10,i5=13; |
k0=6,k1=2,k2=6,k3=1,k4=2,k5=1. |
Assume that five constacyclic codes C1,C2,C3,C4,C5 are as follows:
C1=Rθ1(x);C2=Rθ2(x);C3=Rθ3(x)⊕Rθ4(x); |
C4=Rθ1(x)⊕Rθ2(x);C5=Rθ0(x)⊕Rθ2(x). |
Set F×52=⟨γ1⟩ and F×56=⟨γ2⟩. Then, we have the following:
(1) According to Lemma 3.3, since gcd(n,1+ti1)=gcd(18,3)=3≠1, none of the nonzero elements of C1 has full constacyclic order.
(2) According to Lemma 3.3, the fact that gcd(n,1+ti2)=gcd(18,7)=1 shows that every nonzero element of C2 has full constacyclic order; thus
|C′2|=qk7−1nt=56−136=434. |
By using Theorem 4.1, we get that
C′2={5∑u=0γℓ⋅5u1e7⋅5u|0≤ℓ≤433}. |
(3) According to Lemmas 3.3 and 3.4, since
gcd(n,1+ti3)=gcd(18,9)=9≠1; |
gcd(n,1+ti4)=gcd(18,21)=3≠1; |
gcd(n,1+ti3,1+ti4)=gcd(18,9,21)=3≠1, |
none of the nonzero elements of C3 has full constacyclic order.
(4) Since
gcd(n,1+ti1)=gcd(18,3)=3≠1; |
gcd(n,1+ti2)=gcd(18,7)=1; |
gcd(n,1+ti1,1+ti2)=gcd(18,3,7)=1, |
then,
Θ1={{2}};Θ2={{1,2}}. |
By Theorem 3.5, we get that
|C′4|=1nt[(qk2−1)+(qk1−1)(qk2−1)]=1ntqk1(qk2−1)=136⋅52⋅(56−1)=10850. |
In addition,
m1=(qk1−1)gcd(n,1+ti1)nt=(52−1)gcd(18,3)36=2. |
m2=(qk2−1)nt=56−136=434. |
n2=ntgcd(n,1+ti1,1+ti2)gcd(n,1+ti1)gcd(n,1+ti2)=36gcd(18,3,7)gcd(18,3)gcd(18,7)=12. |
By Theorem 4.2, we have that
C′4=433⋃ε2=0{24∑u=0(γε21θ1+ti2)que(1+ti2)qu(x)}⋃1⋃ε1=0433⋃ε2=011⋃σ2=0{2∑ϵ=12∑κ=12∑j=124∑u=0(γεκ2θσj(1+tij))que(1+tiϵ)qu(x)}=433⋃ε2=0{24∑u=0(γε21θ7)5ue7⋅5u(x)}⋃1⋃ε1=0433⋃ε2=011⋃σ2=0{2∑ϵ=12∑κ=12∑j=124∑u=0(γεκ2θσj(1+2ij))5ue(1+2iϵ)5u(x)}. |
Here, from the formula of C′4, we can also get that
|C′4|=434+2×434×12=10850, |
which is the same as the above result provided by Theorem 3.5.
(5) Since
gcd(n,1+ti0)=gcd(18,1)=1; |
gcd(n,1+ti2)=gcd(18,7)=1; |
gcd(n,1+ti0,1+ti2)=gcd(18,1,7)=1, |
then
Θ1={{0},{2}};Θ2={{0,2}}. |
By Theorem 3.5, we get that
|C′5|=1nt[(qk0−1)+(qk2−1)+(qk0−1)(qk2−1)]=136[(56−1)+(56−1)+(56−1)(56−1)]=6781684. |
In addition,
m1=(qk0−1)gcd(n,1+ti0)nt=(56−1)gcd(18,1)36=434. |
m2=(qk2−1)gcd(n,1+ti2)nt=(56−1)gcd(18,7)36=434. |
n2=ntgcd(n,1+ti0,1+ti2)gcd(n,1+ti0)gcd(n,1+ti2)=36gcd(18,1,7)gcd(18,1)gcd(18,7)=36. |
By Theorem 4.2, we have that
C′5=433⋃ε1=0{15624∑u=0(γε11θ1+ti0)que(1+ti0)qu(x)}⋃433⋃ε2=0{15624∑u=0(γε22θ1+ti2)que(1+ti2)qu(x)}⋃433⋃ε1=0433⋃ε2=035⋃σ2=0{2∑ϵ=12∑κ=12∑j=115624∑u=0(γεκ2θσj(1+tij))que(1+tiϵ)qu(x)}=433⋃ε1=0{15624∑u=0(γε11θ)5ue1⋅5u(x)}⋃433⋃ε2=0{15624∑u=0(γε22θ7)5ue7⋅5u(x)}⋃433⋃ε1=0433⋃ε2=035⋃σ2=0{2∑ϵ=12∑κ=12∑j=115624∑u=0(γεκκθσj(1+2ij))5ue(1+2iϵ)5u(x)}. |
Here, from the formula of C′5, we can also get that
|C′5|=434+434+434×434×36=6781684, |
which is the same as the above result provided by Theorem 3.5.
In this paper, we have introduced the definition of CCPCs and mainly focused on the construction of such a class of codes. First, we proposed a new and explicit enumerative formula for the code size of such CCPCs. Next, we provided an effective method to obtain such a CCPC by using an algebraic tool. A possible direction for future work is to consider the problem of constructing CCPCs with the largest possible code size from a given repeated-root constacyclic code.
The authors declare that they have not used Artificial Intelligence (AI) tools in the creation of this article.
We sincerely thank the Associate Editor and the anonymous referees for their carefully reading and helpful suggestions that led to the improvement of the paper.
G. Zhang was supported by the Guiding Science and Technology Plan Project of Suqian City in 2023.
The authors declare no conflicts of interest.
[1] |
B. Ibarz, J. M. Casado, M. A. Sanjuán, Map-based models in neuronal dynamics, Phys. Rep., 501 (2011), 1-74. doi: 10.1016/j.physrep.2010.12.003
![]() |
[2] |
J. Ma, J. Tang, A review for dynamics in neuron and neuronal network, Nonlinear Dyn., 89 (2017), 1569-1578. doi: 10.1007/s11071-017-3565-3
![]() |
[3] |
A. L. Hodgkin, A. F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve, J. Physiol., 117 (1952), 500. doi: 10.1113/jphysiol.1952.sp004764
![]() |
[4] | J. L. Hindmarsh, R. Rose, A model of neuronal bursting using three coupled first order differential equations, Proc. R. Soc. London Series B. Biol. Sci., 221 (1984), 87-102. |
[5] |
N. F. Rulkov, Modeling of spiking-bursting neural behavior using two-dimensional map, Phys. Rev. E, 65 (2002), 041922. doi: 10.1103/PhysRevE.65.041922
![]() |
[6] |
E. M. Izhikevich, Simple model of spiking neurons, IEEE Trans. Neural Networks, 14 (2003), 1569-1572. doi: 10.1109/TNN.2003.820440
![]() |
[7] | K. Rajagopal, S. Panahi, M. Chen, S. Jafari, B. Bao, Suppressing spiral wave turbulence in a simple fractional-order discrete neuron map using impulse triggering, Fractals, 29 (2021), 2140030. |
[8] | H. Bao, A. Hu, W. Liu, B. Bao, Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction, IEEE Trans. Neural Networks Learn. Syst., 31 (2019), 502-511. |
[9] | K. Li, H. Bao, H. Li, J. Ma, Z. Hua, B. C. Bao, Memristive Rulkov neuron model with magnetic induction effects, IEEE Trans. Ind. Inf., 2021. |
[10] |
M. Lv, C. Wang, G. Ren, J. Ma, X. Song, Model of electrical activity in a neuron under magnetic flow effect, Nonlinear Dyn., 85 (2016), 1479-1490. doi: 10.1007/s11071-016-2773-6
![]() |
[11] |
K. Rajagopal, I. Moroz, B. Ramakrishnan, A. Karthikeyn, P. Duraisamy, Modified Morris-Lecar neuron model: effects of very low frequency electric fields and of magnetic fields on the local and network dynamics of an excitable media, Nonlinear Dyn., 104 (2021), 4427-4443. doi: 10.1007/s11071-021-06494-0
![]() |
[12] |
K. Usha, P. Subha, Hindmarsh-Rose neuron model with memristors, Biosystems, 178 (2019), 1-9. doi: 10.1016/j.biosystems.2019.01.005
![]() |
[13] |
X. Hu, C. Liu, Dynamic property analysis and circuit implementation of simplified memristive Hodgkin-Huxley neuron model, Nonlinear Dyn., 97 (2019), 1721-1733. doi: 10.1007/s11071-019-05100-8
![]() |
[14] | H. Bao, Z. Hua, H. Li, M. Chen, B. Bao, Discrete memristor hyperchaotic maps, IEEE Trans. Circuits Syst. I, 2021. |
[15] |
H. Li, Z. Hua, H. Bao, L. Zhu, M. Chen, B. Bao, Two-dimensional memristive hyperchaotic maps and application in secure communication, IEEE Trans. Ind. Electron., 68 (2021), 9931-9940. doi: 10.1109/TIE.2020.3022539
![]() |
[16] |
I. Hussain, S. Jafari, D. Ghosh, M. Perc, Synchronization and chimeras in a network of photosensitive FitzHugh-Nagumo neurons, Nonlinear Dyn., 104 (2021), 2711-2721. doi: 10.1007/s11071-021-06427-x
![]() |
[17] |
A. Bahramian, F. Parastesh, V. T. Pham, T. Kapitaniak, S. Jafari, M. Perc, Collective behavior in a two-layer neuronal network with time-varying chemical connections that are controlled by a Petri net, Chaos: Interdiscip. J. Nonlinear Sci., 31 (2021), 033138. doi: 10.1063/5.0045840
![]() |
[18] |
A. E. Pereda, Electrical synapses and their functional interactions with chemical synapses, Nat. Rev. Neurosci., 15 (2014), 250-263. doi: 10.1038/nrn3708
![]() |
[19] |
H. Sun, H. Cao, Complete synchronization of coupled Rulkov neuron networks, Nonlinear Dyn., 84 (2016), 2423-2434. doi: 10.1007/s11071-016-2654-z
![]() |
[20] |
D. Hu, H. Cao, Stability and synchronization of coupled Rulkov map-based neurons with chemical synapses, Commun. Nonlinear Sci. Numer. Simul., 35 (2016), 105-122. doi: 10.1016/j.cnsns.2015.10.025
![]() |
[21] |
S. Rakshit, A. Ray, B. K. Bera, D. Ghosh, Synchronization and firing patterns of coupled Rulkov neuronal map, Nonlinear Dyn., 94 (2018), 785-805. doi: 10.1007/s11071-018-4394-8
![]() |
[22] |
M. Perc, Thoughts out of noise, Eur. J. Phys., 27 (2006), 451. doi: 10.1088/0143-0807/27/2/026
![]() |
[23] |
X. Sun, M. Perc, Q. Lu, J. Kurths, Effects of correlated Gaussian noise on the mean firing rate and correlations of an electrically coupled neuronal network, Chaos: Interdiscip. J. Nonlinear Sci., 20 (2010), 033116. doi: 10.1063/1.3483876
![]() |
[24] |
Q. Wang, M. Perc, Z. Duan, G. Chen, Synchronization transitions on scale-free neuronal networks due to finite information transmission delays, Phys. Rev. E, 80 (2009), 026206. doi: 10.1103/PhysRevE.80.026206
![]() |
[25] |
S. Boccaletti, J. Kurths, G. Osipov, D. Valladares, C. Zhou, The synchronization of chaotic systems, Phys. Rep., 366 (2002), 1-101. doi: 10.1016/S0370-1573(02)00137-0
![]() |
[26] |
A. Arenas, A. Díaz-Guilera, J. Kurths, Y. Moreno, C. Zhou, Synchronization in complex networks, Phys. Rep., 469 (2008), 93-153. doi: 10.1016/j.physrep.2008.09.002
![]() |
[27] |
K. Rajagopal, S. Jafari, A. Karthikeyan, A. Srinivasan, Effect of magnetic induction on the synchronizability of coupled neuron network, Chaos: Interdiscip. J. Nonlinear Sci., 31 (2021), 083115. doi: 10.1063/5.0061406
![]() |
[28] |
J. Fell, N. Axmacher, The role of phase synchronization in memory processes, Nat. Rev. Neurosci., 12 (2011), 105-118. doi: 10.1038/nrn2979
![]() |
[29] | G. Arnulfo, S. H. Wang, V. Myrov, B. Toselli, J. Hirvonen, M. Fato, et al., Long-range phase synchronization of high-frequency oscillations in human cortex, Nat. Commun., 11 (2020), 1-15. |
[30] |
C. A. Bosman, C. S. Lansink, C. M. Pennartz, Functions of gamma‐band synchronization in cognition: From single circuits to functional diversity across cortical and subcortical systems, Eur. J. Neurosci., 39 (2014), 1982-1999. doi: 10.1111/ejn.12606
![]() |
[31] |
C. A. Bosman, J. M. Schoffelen, N. Brunet, R. Oostenveld, A. M. Bastos, T. Womelsdorf, et al., Attentional stimulus selection through selective synchronization between monkey visual areas, Neuron, 75 (2012), 875-888. doi: 10.1016/j.neuron.2012.06.037
![]() |
[32] |
P. Jiruska, M. De Curtis, J. G. Jefferys, C. A. Schevon, S. J. Schiff, K. Schindler, Synchronization and desynchronization in epilepsy: controversies and hypotheses, J. Physiol., 591 (2013), 787-797. doi: 10.1113/jphysiol.2012.239590
![]() |
[33] | T. Wang, H. Liao, Y. Zi, M. Wang, Z. Mao, Y. Xiang, et al., Distinct changes in global brain synchronization in early-onset vs. late-onset Parkinson disease, Front. Aging Neurosci., 12 (2020). |
[34] | F. Parastesh, S. Jafari, H. Azarnoush, Z. Shahriari, Z. Wang, S. Boccaletti, Chimeras, Phys. Rep., 2020. |
[35] |
A. zur Bonsen, I. Omelchenko, A. Zakharova, E. Schöll, Chimera states in networks of logistic maps with hierarchical connectivities, Eur. Phys. J. B, 91 (2018), 1-12. doi: 10.1140/epjb/e2017-80535-3
![]() |
[36] |
E. Rybalova, T. Vadivasova, G. Strelkova, V. S. Anishchenko, A. Zakharova, Forced synchronization of a multilayer heterogeneous network of chaotic maps in the chimera state mode, Chaos: Interdiscip. J. Nonlinear Sci., 29 (2019), 033134. doi: 10.1063/1.5090184
![]() |
[37] |
M. Winkler, J. Sawicki, I. Omelchenko, A. Zakharova, V. Anishchenko, E. Schöll, Relay synchronization in multiplex networks of discrete maps, EPL, 126 (2019), 50004. doi: 10.1209/0295-5075/126/50004
![]() |
[38] | Y. Kuramoto, D. Battogtokh, Coexistence of coherence and incoherence in nonlocally coupled phase oscillators, Nonlinear Phenom. Complex Syst., 5 (2002), 380-385. |
[39] |
S. Nkomo, M. R. Tinsley, K. Showalter, Chimera and chimera-like states in populations of nonlocally coupled homogeneous and heterogeneous chemical oscillators, Chaos: Interdiscip. J. Nonlinear Sci., 26 (2016), 094826. doi: 10.1063/1.4962631
![]() |
[40] |
L. V. Gambuzza, A. Buscarino, S. Chessari, L. Fortuna, R. Meucci, M. Frasca, Experimental investigation of chimera states with quiescent and synchronous domains in coupled electronic oscillators, Phys. Rev. E, 90 (2014), 032905. doi: 10.1103/PhysRevE.90.032905
![]() |
[41] |
B. K. Bera, D. Ghosh, M. Lakshmanan, Chimera states in bursting neurons, Phys. Rev. E, 93 (2016), 012205. doi: 10.1103/PhysRevE.93.012205
![]() |
[42] |
S. Majhi, M. Perc, D. Ghosh, Chimera states in uncoupled neurons induced by a multilayer structure, Sci. Rep., 6 (2016), 1-11. doi: 10.1038/s41598-016-0001-8
![]() |
[43] |
I. A. Shepelev, T. E. Vadivasova, A. Bukh, G. Strelkova, V. Anishchenko, New type of chimera structures in a ring of bistable FitzHugh-Nagumo oscillators with nonlocal interaction, Phys. Lett. A, 381 (2017), 1398-1404. doi: 10.1016/j.physleta.2017.02.034
![]() |
[44] | V. Dos Santos, F. S. Borges, K. C. Iarosz, I. L. Caldas, J. Szezech, R. L. Viana, et al., Basin of attraction for chimera states in a network of Rössler oscillators, Chaos: Interdiscip. J. Nonlinear Sci., 30 (2020), 083115. |
[45] |
B. K. Bera, S. Majhi, D. Ghosh, M. Perc, Chimera states: effects of different coupling topologies, EPL, 118 (2017), 10001. doi: 10.1209/0295-5075/118/10001
![]() |
[46] |
U. K. Verma, G. Ambika, Amplitude chimera and chimera death induced by external agents in two-layer networks, Chaos: Interdiscip. J. Nonlinear Sci., 30 (2020), 043104. doi: 10.1063/5.0002457
![]() |
[47] |
B. K. Bera, D. Ghosh, T. Banerjee, Imperfect traveling chimera states induced by local synaptic gradient coupling, Phys. Rev. E, 94 (2016), 012215. doi: 10.1103/PhysRevE.94.012215
![]() |
[48] |
I. A. Shepelev, A. V. Bukh, S. S. Muni, V. S. Anishchenko, Quantifying the transition from spiral waves to spiral wave chimeras in a lattice of self-sustained oscillators, Regular Chaotic Dyn., 25 (2020), 597-615. doi: 10.1134/S1560354720060076
![]() |
[49] |
G. R. Simo, P. Louodop, D. Ghosh, T. Njougouo, R. Tchitnga, H. A. Cerdeira, Traveling chimera patterns in a two-dimensional neuronal network, Phys. Lett. A, 409 (2021), 127519. doi: 10.1016/j.physleta.2021.127519
![]() |
[50] |
G. R. Simo, T. Njougouo, R. Aristides, P. Louodop, R. Tchitnga, H. A. Cerdeira, Chimera states in a neuronal network under the action of an electric field, Phys. Rev. E, 103 (2021), 062304. doi: 10.1103/PhysRevE.103.062304
![]() |