By Gerasimos G. Rigatos
This booklet offers an entire research on neural buildings showing nonlinear and stochastic dynamics, elaborating on neural dynamics by way of introducing complex types of neural networks. It overviews the most findings within the modelling of neural dynamics by way of electric circuits and examines their balance houses with using dynamical platforms thought.
It is appropriate for researchers and postgraduate scholars engaged with neural networks and dynamical structures theory.
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Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons by Gerasimos G. Rigatos