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SUMMARY:Computational Neuroscience Journal Club - Daniel Acosta-Kane (CBL)
DTSTART:20190122T160000Z
DTEND:20190122T170000Z
UID:TALK118759@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Dan Acosta-Kane will be presenting:\n\n• Principles governin
 g the integration of landmark and self-motion cues in entorhinal cortical 
 codes for navigation\n\n• Campbell\, M. G.\, Ocko\, S. A.\, Mallory\, C.
  S.\, Low\, I. I.\, Ganguli\, S.\, & Giocomo\, L. M.\n\n• Nature Neurosc
 ience 2018\n\n• https://www.nature.com/articles/s41593-018-0189-y\n\n\nA
 bstract: To guide navigation\, the nervous system integrates multisensory 
 self-motion and landmark information. We dissected how these inputs genera
 te spatial representations by recording entorhinal grid\, border and speed
  cells in mice navigating virtual environments. Manipulating the gain betw
 een the animal’s locomotion and the visual scene revealed that border ce
 lls responded to landmark cues while grid and speed cells responded to com
 binations of locomotion\, optic flow and landmark cues in a context-depend
 ent manner\, with optic flow becoming more influential when it was faster 
 than expected. A network model explained these results by revealing a phas
 e transition between two regimes in which grid cells remain coherent with 
 or break away from the landmark reference frame. Moreover\, during path-in
 tegration-based navigation\, mice estimated their position following princ
 iples predicted by our recordings. Together\, these results provide a theo
 retical framework for understanding how landmark and self-motion cues comb
 ine during navigation to generate spatial representations and guide behavi
 or. 
LOCATION:Cambridge University Engineering Department\, CBL\, BE4-38 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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