Using chaotic artificial neural networks to model memory in the brain
type: Item
instance of: scholarly article
title: Using chaotic artificial neural networks to model memory in the brain
zbMATH Open document ID: 1467.92010
author: Zainab Aram
author: Sajad Jafari
author: Jun Ma
author: Sareh Zendehrouh
author: Viet-Thanh Pham
author: J. C. Sprott
published in: Communications in Nonlinear Science and Numerical Simulation
publication date: 2020-10-07T00:00:00Z
review text: Based on the theory of chaotic neural networks, a model for human memory is proposed. The authors statement to the goal of the work is: ``\dots trying to suggest a model that may shed a light on some parts of the mechanisms of storing and retrieving the information in the human brain. Our proposed model is very simple and is compatible with some biological facts which are not considered in other existing models.'' Indeed, the proposed model is simple and is a combination of a recurrent artificial neural network and a feed-forward multi-layer perceptron. The second section of the paper is devoted to a short review of chaotic neural network models of the brain, the proposed model is described in the third section and some testing results are presented in the fourth section. As main referred paper is the article of \textit{G. Baghdadi} et al. [Commun. Nonlinear Sci. Numer. Simul. 20, No. 1, 174--185 (2015; Zbl 1304.37064)].
reviewed by: Claudia Simionescu-Badea
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 91E40
zbMATH DE Number: 7257347
zbMATH Keywords: memory
zbMATH Keywords: chaotic behavior
zbMATH Keywords: artificial neural network
zbMATH Keywords: attention
MaRDI profile type: Publication
full work available at URL: j.cnsns.2016.08.025
OpenAlex ID: W2520931403
Wikidata QID: Q57878310
cites work: Q4305593
cites work: A chaotic model of sustaining attention problem in attention deficit disorder
cites work: A subharmonic dynamical bifurcation during in vitro epileptiform activity
cites work: A logical calculus of the ideas immanent in nervous activity
cites work: Chaos in neurobiology
DOI: 10.1016/J.CNSNS.2016.08.025
description: scientific article; zbMATH DE number 7257347