Statistical Mechanics of Neural Networks

Journal: Physics Today • • AIP Publishing • ISSN: 0031-9228

Abstract

A neural network is a large, highly interconnected assembly of simple elements. The elements, called neurons, are usually two-state devices that switch from one state to the other when their input exceeds a specific threshold value. In this respect the elements resemble biological neurons, which fire—that is, send a voltage pulse down their axons—when the sum of the inputs from their synapses exceeds a “firing” threshold. Neural networks therefore serve as models for studies of cooperative behavior and computational properties of the sort exhibited by the nervous system.

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How to Cite this Article

Haim Sompolinsky (1988). "Statistical Mechanics of Neural Networks". Physics Today. https://doi.org/10.1063/1.881142