Neural Network Modeling offers a cohesive approach to the
statistical mechanics and principles of cybernetics as a basis for
neural network modeling. It brings together neurobiologists and the
engineers who design intelligent automata to understand the physics
of collective behavior pertinent to neural elements and the
self-control aspects of neurocybernetics. The theoretical
perspectives and explanatory projections portray the most current
information in the field, some of which counters certain
conventional concepts in the visualization of neuronal
interactions.
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