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SUMMARY:Computational Neuroscience Journal Club - Brian Trippe (CBL)
DTSTART:20170516T150000Z
DTEND:20170516T160000Z
UID:TALK72699@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:Brian Trippe will cover:\n\n* Neural substrate of dynamic Baye
 sian inference in the cerebral cortex\n* Akihiro Funamizu\, Bernd Kuhn\, K
 enji Doya\n* Nature Neuroscience (September 2016)\n* http://www.nature.com
 /neuro/journal/v19/n12/full/nn.4390.html\n\nAbstract:\nDynamic Bayesian in
 ference allows a system to infer the environmental state under conditions 
 of limited sensory observation. Using a goal-reaching task\, we found that
  posterior parietal cortex (PPC) and adjacent posteromedial cortex (PM) im
 plemented the two fundamental features of dynamic Bayesian inference: pred
 iction of hidden states using an internal state transition model and updat
 ing the prediction with new sensory evidence. We optically imaged the acti
 vity of neurons in mouse PPC and PM layers 2\, 3 and 5 in an acoustic virt
 ual-reality system. As mice approached a reward site\, anticipatory lickin
 g increased even when sound cues were intermittently presented\; this was 
 disturbed by PPC silencing. Probabilistic population decoding revealed tha
 t neurons in PPC and PM represented goal distances during sound omission (
 prediction)\, particularly in PPC layers 3 and 5\, and prediction improved
  with the observation of cue sounds (updating). Our results illustrate how
  cerebral cortex realizes mental simulation using an action-dependent dyna
 mic model.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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