New perspectives on learning, inference, and control in brains and machines
The work presented in this thesis provides new perspectives and approaches for problems that arise in the analysis of neural data. Particular emphasis is placed on parameter fitting and automated analysis problems that would arise naturally in closed-loop experiments. Part one focuses on two brain-c...
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| Language: | English |
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2016
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| Online Access: | https://doi.org/10.7916/D8C8296C |