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