Learning internal representations in an attractor neural network with analogue neurons

DOI10.1088/0954-898X/6/3/004zbMath0830.92002OpenAlexW4252857511MaRDI QIDQ4851671

Nicolas J.-B. Brunel, Daniel J. Amit

Publication date: 15 January 1996

Published in: Network: Computation in Neural Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0954-898x/6/3/004

zbMATH Keywords

simulationsdifferent time scalesafferent currentsexternal synaptic inputslearning attractor neural networkoutput spike ratesunsupervised, analogue Hebbian process

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

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