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SUMMARY:Computational Neuroscience Journal Club - Mohsen Sadeghi (CBL)
DTSTART:20171017T150000Z
DTEND:20171017T160000Z
UID:TALK93706@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Mohsen Sadeghi will cover:\n\n• Reinstated episodic context 
 guides sampling-based decisions for reward\n\n• Aaron M Bornstein & Kenn
 eth A Norman\n\n• Nature Neuroscience (July 2017)\n\n• http://www.natu
 re.com/neuro/journal/v20/n7/full/nn.4573.html\n\nAbstract: How does experi
 ence inform decisions? In episodic sampling\, decisions are guided by a fe
 w episodic memories of past choices. This process can yield choice pattern
 s similar to model-free reinforcement learning\; however\, samples can var
 y from trial to trial\, causing decisions to vary. Here we show that conte
 xt 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 retr
 ieval of context\, which then triggers retrieval of other decisions from t
 hat context. This result establishes a new avenue by which experience can 
 guide choice and\, as such\, has broad implications for the study of decis
 ions.
LOCATION:Cambridge University Engineering Department\, CBL\, BE4-38 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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