Using chaotic artificial neural networks to model memory in
the brain
Zainab Aram a , Sajad Jafari a
, ∗, Jun Ma b , Julien C. Sprott c
, Sareh Zendehrouh d , Viet-Thanh Pham e
a Biomedical Engineering Department,
Amirkabir University of Technology, Tehran 15875-4413, Iran
b Department of Physics, Lanzhou
University of Technology, Lanzhou 730050, China
c Department of Physics, University of
Wisconsin - Madison, Madison, WI 53706, USA
d School of Cognitive Sciences, Institute
for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746,
Tehran, Iran
e School of Electronics and
Telecommunications, Hanoi University of Science and Technology,
01 Dai Co Viet, Hanoi, Vietnam
Received 21 March 2016 Revised 29 August 2016 Accepted 30 August
2016 Available online 9 September 2016
ABSTRACT
In the current study, a novel model for human memory is proposed
based on the chaotic dynamics of artificial neural networks. This
new model explains a biological fact about memory which is not yet
explained by any other model: There are theories that the brain
normally works in a chaotic mode, while during attention it shows
ordered behavior. This model uses the periodic windows observed in a
previously proposed model for the brain to store and then recollect
the information.
Ref: Z. Aram, S. Jafari, J. Ma, J. C. Sprott, S. Zendehrough, and
V. T-. Pham, Commun. Nonlinear Sci. Numer. Simulat. 44,
449-459 (2017)
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