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SUMMARY:Computational Neuroscience Journal Club - Dhruva Raman (Control Gr
 oup)
DTSTART:20170627T150000Z
DTEND:20170627T160000Z
UID:TALK73106@talks.cam.ac.uk
CONTACT:Daniel McNamee
DESCRIPTION:Dhruva Raman will cover:\n\n* Neural ensemble dynamics underly
 ing a long-term associative memory\n* Benjamin F. Grewe\, Jan Gründemann\
 , Lacey J. Kitch\, Jerome A. Lecoq\,	Jones G. Parker\, Jesse D. Marshall\,
  Margaret C. Larkin\, Pablo E. Jercog\,	Francois Grenier\, Jin Zhong Li\, 
 Andreas Lüthi & Mark J. Schnitzer\n* Nature (March 2017)\n* http://www.na
 ture.com/nature/journal/v543/n7647/full/nature21682.html\n\nAbstract:\nThe
  brain’s ability to associate different stimuli is vital for long-term m
 emory\, but how neural ensembles encode associative memories is unknown. H
 ere we studied how cell ensembles in the basal and lateral amygdala encode
  associations between conditioned and unconditioned stimuli (CS and US\, r
 espectively). Using a miniature fluorescence microscope\, we tracked the C
 a2+ dynamics of ensembles of amygdalar neurons during fear learning and ex
 tinction over 6 days in behaving mice. Fear conditioning induced both up- 
 and down-regulation of individual cells’ CS-evoked responses. This bi-di
 rectional plasticity mainly occurred after conditioning\, and reshaped the
  neural ensemble representation of the CS to become more similar to the US
  representation. During extinction training with repetitive CS presentatio
 ns\, the CS representation became more distinctive without reverting to it
 s original form. Throughout the experiments\, the strength of the ensemble
 -encoded CS–US association predicted the level of behavioural conditioni
 ng in each mouse. These findings support a supervised learning model in wh
 ich activation of the US representation guides the transformation of the C
 S representation.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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