A model for generalization and specification by single neurons

DOI10.1007/BF00346138zbMath0546.92003OpenAlexW4253029826WikidataQ52277527 ScholiaQ52277527MaRDI QIDQ798579

Paul W. Munro

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1007/bf00346138

zbMATH Keywords

generalizationspecificationenvironmentally dependent modification of the neuronal stateG-cellpostsynaptic mechanismsS-cellsingle neuron response characteristicssynaptic connectivitiessynaptic modificationtrigger feature

Mathematics Subject Classification ID

Physiological, cellular and medical topics (92Cxx)

Related Items (1)

Emergent dynamical properties of the BCM learning rule

Cites Work

• A theory for the acquisition and loss of neuron specificity in visual cortex
• A neural network model for the mechanism of feature-extraction. A self- organizing network with feedback inhibition
• Adaptive pattern classification and universal recoding. II: Feedback, expectation, olfaction, illusions
• Mathematical theory on formation of category detecting nerve cells

This page was built for publication: A model for generalization and specification by single neurons