Networks that learn the precise timing of event sequences
Author:
Funder
NSF
NSF/NIGMS
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems
Link
http://link.springer.com/content/pdf/10.1007/s10827-015-0574-4.pdf
Reference94 articles.
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3. Alberini, C. (2009). Transcription factors in long-term memory and synaptic plasticity. Physiological Reviews, 89(1), 121–145.
4. Amari, S.I. (1972). Learning patterns and pattern sequences by self-organizing nets of threshold elements. IEEE Transactions on Computers, 21(11), 1197–1206.
5. Benda, J., & Herz, A.V. (2003). A universal model for spike-frequency adaptation. Neural Computation, 15 (11), 2523–2564.
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