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SUMMARY:Computational Neuroscience Journal Club - Dr. David Barrett (Unive
 rsity of Cambridge)
DTSTART:20140603T150000Z
DTEND:20140603T160000Z
UID:TALK52888@talks.cam.ac.uk
CONTACT:Guillaume Hennequin
DESCRIPTION:David Barrett will cover:\n\nTwo types of asynchronous activit
 y in networks of excitatory and inhibitory spiking neurons\n\nSrdjan Ostoj
 ic\, Nat. Neurosci. 2014\n\nhttp://www.nature.com/doifinder/10.1038/nn.365
 8\n\nABSTRACT: Asynchronous activity in balanced networks of excitatory an
 d inhibitory neurons is believed to constitute the primary medium for the 
 propagation and transformation of information in the neocortex. Here we sh
 ow that an unstructured\, sparsely connected network of model spiking neur
 ons can display two fundamentally different types of asynchronous activity
  that imply vastly different computational properties. For weak synaptic c
 ouplings\, the network at rest is in the well-studied asynchronous state\,
  in which individual neurons fire irregularly at constant rates. In this s
 tate\, an external input leads to a highly redundant response of different
  neurons that favors information transmission but hinders more complex com
 putations. For strong couplings\, we find that the network at rest display
 s rich internal dynamics\, in which the firing rates of individual neurons
  fluctuate strongly in time and across neurons. In this regime\, the inter
 nal dynamics interact with incoming stimuli to provide a substrate for com
 plex information processing and learning.\n\n\n
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /learning.eng.cam.ac.uk/Public/Directions)
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