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SUMMARY:Computational Neuroscience Journal Club - Alberto Bernacchia (CBL)
DTSTART:20181002T150000Z
DTEND:20181002T160000Z
UID:TALK111730@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Alberto Bernacchia will present:\n\n• Inhibitory connectivit
 y defines the realm of excitatory plasticity\n\n• Gianluigi Mongillo\, S
 imon Rumpel & Yonatan Loewenstein\n\n• Nature Neuroscience (2018)\n\n•
  https://www.nature.com/articles/s41593-018-0226-x\n\n\nAbstract: Recent e
 xperiments demonstrate substantial volatility of excitatory connectivity i
 n the absence of any learning. This challenges the hypothesis that stable 
 synaptic connections are necessary for long-term maintenance of acquired i
 nformation. Here we measure ongoing synaptic volatility and use theoretica
 l modeling to study its consequences on cortical dynamics. We show that in
  the balanced cortex\, patterns of neural activity are primarily determine
 d by inhibitory connectivity\, despite the fact that most synapses and neu
 rons are excitatory. Similarly\, we show that the inhibitory network is mo
 re effective in storing memory patterns than the excitatory one. As a resu
 lt\, network activity is robust to ongoing volatility of excitatory synaps
 es\, as long as this volatility does not disrupt the balance between excit
 ation and inhibition. We thus hypothesize that inhibitory connectivity\, r
 ather than excitatory\, controls the maintenance and loss of information o
 ver long periods of time in the volatile cortex.
LOCATION:Cambridge University Engineering Dept.\, Board Room (2nd floor\, 
 Baker building)
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