Neural circuits trained with standard reinforcement learning can accumulate probabilistic information during decision making
Much experimental evidence suggests that during decision making neural circuits accumulate evidence supporting alternative options. A computational model well describing this accumulation for choices between two options assumes that the brain integrates the log ratios of the likelihoods of the senso...
| Main Authors: | , , |
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| Format: | Journal article |
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Massachusetts Institute of Technology Press
2016
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