By Gerasimos G. Rigatos
This booklet offers a whole research on neural constructions displaying nonlinear and stochastic dynamics, elaborating on neural dynamics through introducing complicated versions of neural networks. It overviews the most findings within the modelling of neural dynamics by way of electric circuits and examines their balance homes with using dynamical structures conception.
It is appropriate for researchers and postgraduate scholars engaged with neural networks and dynamical platforms theory.
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Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons by Gerasimos G. Rigatos