Period-halving Bifurcation of a Neuronal Recurrence Equation

10/17/2011
by   Renè Ndoundam, et al.
0

We study the sequences generated by neuronal recurrence equations of the form x(n) = 1[∑_j=1^h a_j x(n-j)- θ]. From a neuronal recurrence equation of memory size h which describes a cycle of length ρ(m) × lcm(p_0, p_1,..., p_-1+ρ(m)), we construct a set of ρ(m) neuronal recurrence equations whose dynamics describe respectively the transient of length O(ρ(m) × lcm(p_0, ..., p_d)) and the cycle of length O(ρ(m) × lcm(p_d+1, ..., p_-1+ρ(m))) if 0 ≤ d ≤ -2+ρ(m) and 1 if d=ρ(m)-1. This result shows the exponential time of the convergence of neuronal recurrence equation to fixed points and the existence of the period-halving bifurcation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/10/2006

Réseaux d'Automates de Caianiello Revisité

We exhibit a family of neural networks of McCulloch and Pitts of size 2n...
research
06/24/2019

On non-Hamiltonian cycle sets of satisfying Grinberg's Equation

In [1] we used a cycle basis of the cycle space to represent a simple co...
research
01/18/2022

Dynamics of an SIRWS model with waning of immunity and varying immune boosting period

SIRS models capture transmission dynamics of infectious diseases for whi...
research
12/23/2020

Homogenization of the Landau-Lifshitz equation

In this paper, we consider homogenization of the Landau-Lifshitz equatio...
research
05/17/2018

Quadratic Word Equations with Length Constraints, Counter Systems, and Presburger Arithmetic with Divisibility

Word equations are a crucial element in the theoretical foundation of co...
research
02/24/2020

Hardness of equations over finite solvable groups under the exponential time hypothesis

Goldmann and Russell (2002) initiated the study of the complexity of the...
research
08/17/2022

Algorithmic reconstruction of discrete dynamics

Functional graphs (FG) allow to model under graph structures the behavio...

Please sign up or login with your details

Forgot password? Click here to reset