Brain and Classical Neural Networks
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Brain and Classical Neural Networks gives a modern review of classical neurodynamics, including brain physiology, biological and artificial neural networks, synchronization, spike neural nets and wavelet resonance, motor control and learning. It includes the following sections:
This section presents the basics of Basics of Brain Physiology necessary for comprehensive reading of the book.
Biological versus Artificial Neural Networks
This section reviews standard models of artificial neural networks and contrasts them with biophysical models of neural ensembles.
Synchronization in Neurodynamics
This section elaborates on the important concept of synchronization in coupled chaotic oscillators, neural dynamical systems, and Kuramoto-type models, using methods based on Lyapunov exponents.
Spike Neural Networks and Wavelet Resonance
This section presents wavelet-based neural-ensemble dynamics in general and in epileptic spikes in particular.
Human Motor Control and Learning
This section presents basics of human neuro-motor control, memory, and motor learning and cerebellar muscular synergy.
KeywordsPurkinje Cell Discrete Wavelet Transform Wavelet Transform Stochastic Resonance Phase Synchronization
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