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


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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