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 ℓ2ρ 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 ℓ2ρ 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(x−y)H(u(t,y)−θ)dy,x∈Ω⊂R, |
where
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))+∑j∈Zdki,jH(uj(t)−θ)+gi(t),i∈Zd. |
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+e−x/ε,x∈R,0<ε<1. |
In this paper we consider the autonomous neural field lattice system with delays
ddtui(t)=fi(ui(t))+∑j∈Zdki,jσε(uj(t−τj)−θ)+gi,i∈Zd. | (1) |
Throughout this paper we assume that the delays
Assumption 1. There exists a constant
and that the interconnection matrix
Assumption 2.
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],i∈Zd, | (2) |
for appropriate functions
We follow Han & Kloeden [7] and consider a weighted space of bi-infinite real valued sequences with vectorial indices
In particular, given a positive sequence of weights
ℓ2ρ:={u=(ui)i∈Zd:∑i∈Zdρiu2i<∞} |
with the inner product
⟨u,v⟩:=∑i∈Zdρiuiviforu=(ui)i∈Zd,v=(vi)i∈Zd∈ℓ2ρ |
and norm
‖u‖ρ:=√∑i∈Zdρiu2i. |
We assume that the
Assumption 3.
The appropriate function space for the solutions of the lattice system with delays (1) is the Banach space
‖v‖C([−h,0],ℓ2ρ)=maxs∈[−h,0]‖v(s)‖ρ. |
For a solution
For any
f(u):=(fi(ui))i∈Zd. |
To ensure that the
Assumption 4. The functions
supi∈Zdmaxs∈[−r,r]|f′i(s)|≤L(ρir),∀r∈R+,i∈Zd; |
Assumption 5.
Assumption 6. There exist constants
It was shown in [7] that Assumption 4 implies that
Since
it follows
for every
Lemma 2.1. Assume that Assumptions 4–6 hold. Then
For any
Lemma 2.2. The operator
Proof. The function
Then
Remark 1. The function
Hence it is globally Lipschitz with the Lipschitz constant
Finally, we suppose that the constant forcing term
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
Lemma 3.1. The mapping
Proof. Let
Considering only the
where
The mapping
that the mapping
Theorem 3.2. Suppose that Assumptions 1–7 hold. Then for each
Proof. Step 1. First, we claim that
It is easy to see that
(4) |
Since
Then we obtain
(5) |
For the second term with delay, we have
(6) |
where we have used Assumption 3.
Finally, for the last term
(7) |
Using (5), (6) and (4) in (4) we conclude that
Step 2. Next, we claim that the maps
We consider
(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
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
Step 3. Finally, we claim the following inequality holds:
where
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
(11) |
where
Proof. We multiply the
(12) |
By Assumption 6 and
so
Since function
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
we obtain
Finally, using that
(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
Lemma 3.3. Suppose that Assumptions 1–8 hold. Then the solution
Proof. Assumption 8 implies that the operator
Hence, suppose that we have two different solutions
Set
where
Integrating from 0 to t then gives
Let
Then take the supremum on
By Gronwall's inequality, we have
(15) |
Since
The proof of the next corollary follows easily using (15).
Corollary 1. The map
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
where
It also follows from inequality (11) that the semigroup has a bounded absorbing set.
Corollary 2. The bounded set defined by
with
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
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
for any initial condition
Proof. Define a smooth function
Let
where
(16) |
First, by Assumption 6,
(17) |
Then, since function
(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
(21) |
Similarly, since
(22) |
In addition, since
(23) |
Finally, for any
It follows immediately from Gronwall's lemma that
In a similar way as in Proposition 1 we have
Thus, there exist
In order to apply Theorem 4.1, we need to prove that
Lemma 4.3. Suppose that Assumptions 1–8 hold. Then the semigroup
Proof. We consider
For fixed
In fact, the weak convergence here is strong, which follows from Lemma 4.2. Indeed, there exists
if
Thus,
Then, the Ascoli-Arzelà theorem implies that
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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