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Computational Neuroscience Journal Club

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If you have a question about this talk, please contact Rodrigo Echeveste .

Mohsen Sadeghi will cover:

â€ĸ Reinstated episodic context guides sampling-based decisions for reward

â€ĸ Aaron M Bornstein & Kenneth A Norman

â€ĸ Nature Neuroscience (July 2017)

â€ĸ http://www.nature.com/neuro/journal/v20/n7/full/nn.4573.html

Abstract: How does experience inform decisions? In episodic sampling, decisions are guided by a few episodic memories of past choices. This process can yield choice patterns similar to model-free reinforcement learning; however, samples can vary from trial to trial, causing decisions to vary. Here we show that context retrieved during episodic sampling can cause choice behavior to deviate sharply from the predictions of reinforcement learning. Specifically, we show that, when a given memory is sampled, choices (in the present) are influenced by the properties of other decisions made in the same context as the sampled event. This effect is mediated by fMRI measures of context retrieval on each trial, suggesting a mechanism whereby cues trigger retrieval of context, which then triggers retrieval of other decisions from that context. This result establishes a new avenue by which experience can guide choice and, as such, has broad implications for the study of decisions.

This talk is part of the Computational Neuroscience series.

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