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  Forward propagating reinforcement learning: biologically plausible learning method for multi-layer networks

Watanabe, M., Masuda, T., & Kazuyuki, A. (2003). Forward propagating reinforcement learning: biologically plausible learning method for multi-layer networks. Biosystems, 71(1-2), 213-220. doi:10.1016/S0303-2647(03)00127-8.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-DB9F-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-6A2D-3
Genre: Journal Article

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 Creators:
Watanabe, M1, Author              
Masuda, T, Author
Kazuyuki, A, Author
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1External Organizations, ou_persistent22              

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 Abstract: We introduce a biologically plausible method of implementing reinforcementlearning to multi-layer neural networks. The key idea is to spatially localize the synaptic modulation induced by reinforcement signals, proceeding downstream from the initial layer to the final layer. Since reinforcement signals are known to be broadcast signals in the actual brain, we need two key assumptions, inhibitory backward connections and bypass to output units, to spatially localize the effect of delayed reinforcement without breaking the basic laws of neurophysiology.

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 Dates: 2003-09
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/S0303-2647(03)00127-8
BibTex Citekey: 5800
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Title: Biosystems
  Other : Biosystems [Elektronische Ressource] : Journal of Biological and Information Processing Sciences
Source Genre: Journal
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Publ. Info: Ireland, etc. : Elsevier
Pages: - Volume / Issue: 71 (1-2) Sequence Number: - Start / End Page: 213 - 220 Identifier: ISSN: 0303-2647
CoNE: https://pure.mpg.de/cone/journals/resource/954925510418