Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural network-Reference-Cited by-同舟云学术

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Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural network

Published:2023-04 Issue: Volume:118 Page:107044
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Banki-Koshki Hossein,Seyyedsalehi Seyyed Ali

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference62 articles.

1. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain;Azevedo;J Comp Neurol,2009

2. Is there chaos in the brain? II. Experimental evidence and related models;Korn;C R Biol,2003

3. Is there chaos in the brain? I. Concepts of nonlinear dynamics and methods of investigation;Faure;C R Acad Sci III,2001

4. Chaos in the brain: a short review alluding to epilepsy, depression, exercise and lateralization;Sarbadhikari;Med Eng Phys,2001

5. EEG signal processing and machine learning;Sanei,2021

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