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SUMMARY:Computational Neuroscience Journal Club - Yul Kang and Wayne Soo
DTSTART:20211026T130000Z
DTEND:20211026T143000Z
UID:TALK164608@talks.cam.ac.uk
CONTACT:Jake Stroud
DESCRIPTION:Please join us for our fortnightly journal club online via zoo
 m where two presenters will jointly present a topic together. The next top
 ic is ‘Flexible computation in the entorhinal-hippocampal system’ pres
 ented by Wayne Soo and Yul Kang.\n\nZoom information: https://us02web.zoom
 .us/j/84958321096?pwd=dFpsYnpJYWVNeHlJbEFKbW1OTzFiQT09 Meeting ID: 841 978
 8 6178 Passcode: 659046\n\nSummary: In Part 1\, we will cover the “linea
 r reinforcement learning” model proposed by Piray & Daw (2021)\, which a
 llows flexible replanning under changing goals with a computationally inex
 pensive\, linear approximation of the Bellman equation\, and explains the 
 cost of cognitive control and grid and border cell activities. In Part 2\,
  we will look at a proposed generative process of sequential internal stat
 e representations that can interpolate between qualitatively distinct regi
 mes of sequential hippocampal reactivations. This is achieved by a systema
 tic modulation along the medial entorhinal cortex dorsoventral axis of gri
 d population input into the hippocampus. \n\nRelevant reading:\n\nMcNamee\
 , D. C.\, Stachenfeld\, K. L.\, Botvinick\, M. M. & Gershman\, S. J. Flexi
 ble modulation of sequence generation in the entorhinal–hippocampal syst
 em. Nat Neurosci 1–12 (2021) doi:10.1038/s41593-021-00831-7. https://www
 .nature.com/articles/s41593-021-00831-7 \n\nP. Piray and N. Daw\, Linear r
 einforcement learning: Flexible reuse of computation in planning\, grid fi
 elds\, and cognitive control\, Nat Comm\, 2021\, https://www.nature.com/ar
 ticles/s41467-021-25123-3
LOCATION:Online on Zoom
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