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Asymptotic behaviour of a neural field lattice model with delays

  • The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space 2ρ under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.

    Citation: Xiaoli Wang, Peter Kloeden, Meihua Yang. Asymptotic behaviour of a neural field lattice model with delays[J]. Electronic Research Archive, 2020, 28(2): 1037-1048. doi: 10.3934/era.2020056

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  • The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space 2ρ under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.



    Neural field models are often represented as evolution equations generated as continuum limits of computational models of neural fields theory. They are tissue level models that describe the spatio-temporal evolution of coarse grained variables such as synaptic or firing rate activity in populations of neurons. See Coombes et al. [4] and the literature therein. A particularly influential model is that proposed by S. Amari in [1] (see also Chapter 3 of Coombes et al. [4] by Amari):

    tu(t,x)=u(t,x)+ΩK(xy)H(u(t,y)θ)dy,xΩR,

    where θ>0 is a given threshold and H : R R is the Heaviside function.

    The continuum neural models may lose their validity in capturing detailed dynamics at discrete sites when the discrete structures of neural systems become dominant. Lattice models, e.g., [2,6,9,10], can used to describe dynamics at each site of the neural field. Han & Kloeden [7] introduced and investigated the following lattice version of the Amari model:

    ddtui(t)=fi(ui(t))+jZdki,jH(uj(t)θ)+gi(t),iZd.

    Delays are often included in neural field models to account for the transmission time of signals between neurons. In addition, to facilitate the analysis, the Heaviside function can be replaced by a simplifying sigmoidal function such as

    σε(x)=11+ex/ε,xR,0<ε<1.

    In this paper we consider the autonomous neural field lattice system with delays

    ddtui(t)=fi(ui(t))+jZdki,jσε(uj(tτj)θ)+gi,iZd. (1)

    Throughout this paper we assume that the delays τj>0 are uniformly bounded, i.e., satisfy

    Assumption 1. There exists a constant h(0,) that 0τih for all iZd.

    and that the interconnection matrix (ki,j)i,jZd satisfies

    Assumption 2. ki,j0 for all i,jZd and there exists a constant κ>0 such that jZdki,j κ for each iZd.

    The main goal of this paper is to investigate asymptotic behaviour of solutions to the neural lattice system with delays (1), in particular, the attractor for the semidynamical system generated by its solutions. The initial conditions for such delay systems have the form

    ui(s)=ψi(s),s[h,0],iZd, (2)

    for appropriate functions ψi.

    We follow Han & Kloeden [7] and consider a weighted space of bi-infinite real valued sequences with vectorial indices i=(i1,,id)Zd.

    In particular, given a positive sequence of weights (ρi)iZd, we consider the separable Hilbert space

    2ρ:={u=(ui)iZd:iZdρiu2i<}

    with the inner product

    u,v:=iZdρiuiviforu=(ui)iZd,v=(vi)iZd2ρ

    and norm

    uρ:=iZdρiu2i.

    We assume that the ρi satisfy the following assumption.

    Assumption 3. ρi>0 for all iZd and ρΣ:=iZdρi<.

    The appropriate function space for the solutions of the lattice system with delays (1) is the Banach space C([h,0],2ρ) of continuous functions by v : [h,0] 2ρ with the norm

    vC([h,0],2ρ)=maxs[h,0]v(s)ρ.

    For a solution u(t)=(ui(t))iZd2ρ of (1) we denote by ut the segment of the solution in C([h,0],2ρ) defined by ut(s)=u(t+s) for each s[h,0]. The corresponding initial condition (2) must then satisfy (ψi())iZd C([h,0],2ρ).

    For any u=(ui)iZd2ρ, we define the operator f by

    f(u):=(fi(ui))iZd.

    To ensure that the f(u) take values in 2ρ for every u2ρ and has necessary dissipative properties, we make the following standing assumptions on the fi throughout the rest of the paper.

    Assumption 4. The functions fi:RR are continuously differential with weighted equi-locally bounded derivatives, i.e., there exists a non-decreasing function L()C(R+,R+) such that

    supiZdmaxs[r,r]|fi(s)|L(ρir),rR+,iZd;

    Assumption 5. fi(0)=0 for all iZd;

    Assumption 6. There exist constants α>0 and βi with such that

    It was shown in [7] that Assumption 4 implies that is locally Lipschitz with

    Since

    it follows

    for every and . The following lemma from [7] states the Lipschitz and dissipative properties of the operator .

    Lemma 2.1. Assume that Assumptions 4–6 hold. Then is locally Lipschitz and satisfies the dissipativity condition

    For any we define the operator by by

    Lemma 2.2. The operator maps to .

    Proof. The function takes values in the unit interval [0, 1], so

    Then

    Remark 1. The function is differentiable with a uniformly bounded derivative

    Hence it is globally Lipschitz with the Lipschitz constant .

    Finally, we suppose that the constant forcing term satisfies the following assumption.

    Assumption 7. .

    The lattice differential equation (1) can be rewritten as an infinitely dimensional ordinary differential equation on ,

    (3)

    where

    In this section we study the existence and uniqueness of solutions of the differential equation (3). To this end, we will need the following auxiliary Lemma 3.1.

    Let and define

    Lemma 3.1. The mapping is continuous from to for every .

    Proof. Let in . Since Assumption 1: for each , we see that in . Thus for every there exist an such that

    Considering only the appearing in the sum defining , we obtain

    where

    The mapping is continuous for all . Since there are a finite number of terms in the sum in the definition of , it follows from the elementary inequality

    that the mapping is continuous.

    Theorem 3.2. Suppose that Assumptions 1–7 hold. Then for each there exists such that for every satisfying , the lattice delay equation (3) has at least one solution defined on . Moreover, the solution .

    Proof. Step 1. First, we claim that is well defined and bounded.

    It is easy to see that is well defined since , and are all well defined. As for the boundedness, we denote that

    (4)

    Since is locally Lipschitz and satisfies by Assumption 4-5, we see that

    Then we obtain

    (5)

    For the second term with delay, we have by Assumption 2, which gives

    (6)

    where we have used Assumption 3.

    Finally, for the last term , Assumption 7 gives

    (7)

    Using (5), (6) and (4) in (4) we conclude that is well defined and bounded.

    Step 2. Next, we claim that the maps are continuous for all .

    We consider and such that in . Then

    (8)

    By the local Lipschitz continuity of ,

    (9)

    which shows that this term converges to zero.

    Next for the second term on the right-hand side

    (10)

    On one hand, since , for every , there exists a such that when : we assume that the in (10) is such an . On the other hand, when by Lemma 3.1 for all . Thus is continuous.

    Using (9) and (10) in (8), we complete the proof of the claim.

    Having the two steps above, by Theorem 10 in Caraballo et al. [3], for each there exists such that if and , then the problem (3) has at least one solution defined on .

    Step 3. Finally, we claim the following inequality holds:

    where as , and is a continuous non-decreasing function.

    The proof is as follows.

    By Corollary 13 in [3], we also conclude that the solution .

    Here we will establish some estimates of the solutions, which imply that the solutions are bounded uniformly with respect to bounded sets of initial conditions and all positive values of time.

    Proposition 1. Suppose that Assumptions 1–7 hold. Then every solution of (3) with verifies

    (11)

    where , are constants depending on the parameters of the problem.

    Proof. We multiply the th component of (1) by and sum over to obtain

    (12)

    By Assumption 6 and we have

    so

    Since function takes values in the unit interval, using Young's inequality we obtain

    so

    The last term on the right hand of (12) satisfies

    In summary, collecting the inequalities above, we obtain

    Integrating both sides of this differential inequality yields

    (13)

    Let . Replacing by in (13) and using

    we obtain

    Finally, using that and neglecting the negative terms yields

    (14)

    where

    Having the existence of the solution of problem (3), moreover, we now establish the uniqueness of the solution with the additional assumption that

    Assumption 8. There exists a constant such for each .

    Lemma 3.3. Suppose that Assumptions 1–8 hold. Then the solution of problem (3) is unique.

    Proof. Assumption 8 implies that the operator is Lipschitz. In fact,

    Hence, suppose that we have two different solutions , of problem (3) with the same initial condition , .

    Set , we obtain that

    where .

    Integrating from 0 to t then gives

    Let . Replacing t by in the inequality above and using when We obtain

    Then take the supremum on ,

    By Gronwall's inequality, we have

    (15)

    Since , we obtain that

    The proof of the next corollary follows easily using (15).

    Corollary 1. The map is continuous.

    Proposition 1 implies that every local solution of (1) can be extended globally, which, with the uniqueness of the solution, will allow us to define a semigroup in terms of the solution mapping and to conclude that it has a bounded absorbing set.

    When Assumptions 1–8 hold, Theorem 3.2 and Lemma 3.3 ensure the local existence and uniqueness of solutions of the delayed lattice system (3), while Proposition 1 shows that the solutions are, in fact, globally defined.

    We can thus define a semigroup of operators by

    where is the unique solution to (3) with . The semigroup map is continuous in its variables by Corollary 1.

    It also follows from inequality (11) that the semigroup has a bounded absorbing set.

    Corollary 2. The bounded set defined by

    with , is absorbing for the semigroup .

    Our aim is to study the asymptotic behaviour of solution of problem (1). In particular, we will show the existence of a global attractor. For this we will apply the following well-known results about the existence of global attractors, see [8] and [5].

    Theorem 4.1. Let be continuous for any . Assume that is asymptotically compact and possesses a bounded absorbing set . Then there exists a global compact attractor , which is the minimal closed set attracting any bounded set. If, moreover, the space is connected and the map is continuous for any , then the set is connected.

    To show the asymptotic compactness of the semigroup, we need to estimate the tails of solutions of (3), i.e., their higher dimensional components, see [2].

    Lemma 4.2. Suppose that Assumptions 1–8 hold and let be a bounded set of . Then, for any there exist and such that

    for any initial condition and the corresponding solution of (3) with .

    Proof. Define a smooth function satisfying

    Let be a fixed (and large) integer to be specified later, and set

    where denotes the Euclidean norm. We multiply the th component of (1) by , then summing over , and since , we have

    (16)

    First, by Assumption 6,

    (17)

    Then, since function takes values in the unit interval, using Young's inequality,

    (18)

    And using Young's inequality again,

    (19)

    Inserting the estimations (17), (18) and (19) into (16), then

    (20)

    We now estimate each term on the right hand side of the above inequality. Note that

    Since , then for every there exists such that

    (21)

    Similarly, since , then for every , there exists such that

    (22)

    In addition, since by Assumption 7, for every there exists such that

    (23)

    Finally, for any , choosing , inserting the estimations (21), (22) and (23) into (20) results in

    It follows immediately from Gronwall's lemma that

    In a similar way as in Proposition 1 we have

    Thus, there exist and such that

    In order to apply Theorem 4.1, we need to prove that generated by the delay lattice system (3) is asymptotically compact.

    Lemma 4.3. Suppose that Assumptions 1–8 hold. Then the semigroup is asymptotically compact.

    Proof. We consider , where , a bounded set in . From (14) there is a such that

    For fixed we can find a subsequence (which we still denote by ) such that

    In fact, the weak convergence here is strong, which follows from Lemma 4.2. Indeed, there exists , when , we have (where is the constant in Lemma 4.2). Moreover, for any there exist and such that

    if . Hence

    Thus, is precompact in for any Since is a bounded map, Proposition 1 and the integral representation of solutions imply that

    Then, the Ascoli-Arzelà theorem implies that is relatively compact in .

    Remark 2. If Assumption 8 guarranteeing uniqueness of solutions does not hold, then the lattice model (1) generates a set-valued semi-dynamical system, which can be shown to have a global attractor using essentially the same Lemmas as above.



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