CHAOS IN A THREE-DIMENSIONAL GENERAL MODEL OF NEURAL NETWORK
2002 ◽
Vol 12
(10)
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pp. 2271-2281
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Keyword(s):
The dynamics of a network of three neurons with all possible connections is studied here. The equations of control are given by three differential equations with nonlinear, positive and bounded sigmoidal response function of the neurons. The system passes from stable to periodic and then to chaotic regimes and returns to stationary regime with change in parameter values of synaptic weights and decay rates. We have developed programs and used Locbif package to study phase portraits, bifurcation diagrams which confirm the result. Lyapunov Exponents have been calculated to confirm chaos.
2020 ◽
Vol 30
(14)
◽
pp. 2030039
Keyword(s):
2021 ◽
Vol 31
(06)
◽
pp. 2150089
2017 ◽
Vol 2017
◽
pp. 1-17
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2001 ◽
Vol 11
(04)
◽
pp. 645-661
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1996 ◽
Vol 118
(3)
◽
pp. 375-383
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2017 ◽
Vol 27
(06)
◽
pp. 1750091
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Keyword(s):