Neural Network Modeling
Statistical Mechanics and Cybernetic Perspectives
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This text offers a cohesive approach to the statistical mechanics and principles of cybemetics as a basis for neural network modelling. The book highlights the theoretical perspectives and explanatory projections of the visualisation of neuronal interactions, most of which represent the most current and controversial concepts in the field.
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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