Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs

DOI10.1162/NECO.2009.02-09-967zbMath1185.92013OpenAlexW2110130304WikidataQ51782269 ScholiaQ51782269MaRDI QIDQ3556799

Yibi Huang, Yali Amit

Publication date: 26 April 2010

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

Full work available at URL: https://doi.org/10.1162/neco.2009.02-09-967

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

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Cites Work

• Optimizing One-Shot Learning with Binary Synapses
• Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network
• Spike-Driven Synaptic Dynamics Generating Working Memory States
• Associative memory: on the (puzzling) sparse coding limit

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