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SUMMARY:Computational Neuroscience Journal Club - Dr. David Barrett (Unive
 rsity of Cambridge)
DTSTART:20151124T160000Z
DTEND:20151124T170000Z
UID:TALK62677@talks.cam.ac.uk
CONTACT:Guillaume Hennequin
DESCRIPTION:David Barrett will cover:\n\n* Internally Recurring Hippocampa
 l Sequences as a Population Template of Spatiotemporal Information\n* V Vi
 llette\, A Malvache\, T Tressard\, N Dupuy\, and R Cossart\n* Neuron (2015
 )\n* http://www.sciencedirect.com/science/article/pii/S0896627315008417\n\
 nThe hippocampus is essential for spatiotemporal cognition. Sequences of n
 euronal activation provide a substrate for this fundamental function. At t
 he behavioral timescale\, these sequences have been shown to occur either 
 in the presence of successive external landmarks or through internal mecha
 nisms within an episodic memory task. In both cases\, activity is external
 ly constrained by the organization of the task and by the size of the envi
 ronment explored. Therefore\, it remains unknown whether hippocampal activ
 ity can self-organize into a default mode in the absence of any external m
 emory demand or spatiotemporal boundary. Here we show that\, in the presen
 ce of self-motion cues\, a population code integrating distance naturally 
 emerges in the hippocampus in the form of recurring sequences. These inter
 nal dynamics clamp spontaneous travel since run distance distributes into 
 integer multiples of the span of these sequences. These sequences may thus
  guide navigation when external landmarks are reduced.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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