A Dual Pathway Approach for Solving the Spatial Credit Assignment Problem in a Biological Way
To survive, many biological organisms need to accurately infer which features of their environment predict future rewards and punishments. In machine learning terms, this is the problem of spatial credit assignment, for which many supervised learning algorithms have been developed. In this thesis,...
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Language: | en |
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2013
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Online Access: | http://hdl.handle.net/10222/40064 |