Bayesian learning methods for neural coding
A primary goal in systems neuroscience is to understand how neural spike responses encode information about the external world. A popular approach to this problem is to build an explicit probabilistic model that characterizes the encoding relationship in terms of a cascade of stages: (1) linear dim...
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| Format: | Others |
| Language: | en_US |
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2014
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| Online Access: | http://hdl.handle.net/2152/22961 |