This package provides a model of Pavlovian conditioning phenomena, such as response extinction and spontaneous recovery, and partial reinforcement extinction effects. Competing proximal and distal reward predictions, computed using fast and slow learning rates, combine according to their uncertainties and the recency of information. The resulting mean prediction drives the response rate.
|Date of publication||2014-03-28 19:37:19|
|Maintainer||Chloe Bracis <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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