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Probabilistic Decision Making with Spikes: From ISI Distributions to Behaviour via Information Gain
Computational theories of decision making in the brain usually assume that sensory 'evidence' is accumulated supporting a number of hypotheses, and that the first accumulator to reach threshold triggers a decision in favour of its associated hypothesis. However, the evidence is often assum...
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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4414410/ https://ncbi.nlm.nih.gov/pubmed/25923907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0124787 |
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