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SUMMARY:Computational Neuroscience Journal Club - Marcelo Mattar (CBL)
DTSTART:20181127T160000Z
DTEND:20181127T170000Z
UID:TALK115468@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Marcelo Mattar will be presenting:\n\n• Big-Loop Recurrence 
 within the Hippocampal System Supports Integration of Information across E
 pisodes\n\n• Raphael Koster et al.\n\n• Neuron 2018\n\n• https://doi
 .org/10.1016/j.neuron.2018.08.009\n\nAbstract: Recent evidence challenges 
 the widely held view that the hippocampus is specialized for episodic memo
 ry\, by demonstrating that it also underpins the integration of informatio
 n across experiences. Contemporary computational theories propose that the
 se two contrasting functions can be accomplished by big-loop recurrence\, 
 whereby the output of the system is recirculated back into the hippocampus
 . We use ultra-high-resolution fMRI to provide support for this hypothesis
 \, by showing that retrieved information is presented as a new input on th
 e superficial entorhinal cortex—driven by functional connectivity betwee
 n the deep and superficial entorhinal layers. Further\, the magnitude of t
 his laminar connectivity correlated with inferential performance\, demonst
 rating its importance for behavior. Our findings offer a novel perspective
  on information processing within the hippocampus and support a unifying f
 ramework in which the hippocampus captures higher-order structure across e
 xperiences\, by creating a dynamic memory space from separate episodic cod
 es for individual experiences.
LOCATION:Cambridge University Engineering Department\, CBL\, BE4-38 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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