Probabilistic Decision Making with Spikes: From ISI Distributions to Behaviour via Information Gain
نویسندگان
چکیده
منابع مشابه
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 assumed to occur as a continuous process whose origins are somewhat abstract, with no direct link to the neural ...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0124787