A general model of stochastic neural processing

DOI10.1007/BF00203453zbMath0699.92007MaRDI QIDQ913691

D. Gorse, John G. Taylor

Publication date: 1990

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

hippocampustiming constraintsspike trainauditory cortexcell surface geometryextended Markov processhardware realizationmodel of neural processingpostsynaptic summationpRAMprobabilistic random access memory

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

The Computational Structure of Spike Trains

Cites Work

• Neural model with probabilistic firing behavior. I. General considerations
• An analysis of noisy RAM and neural nets
• The existence of persistent states in the brain
• Noisy Neural Net States and Their Time Evolution
• Characteristics of Random Nets of Analog Neuron-Like Elements

This page was built for publication: A general model of stochastic neural processing