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SUMMARY:All for one and one for all: single-cell properties in the service
  of circuit-level computations - Dr Máté Lengyel\, Department of Enginee
 ring\, University of Cambridge
DTSTART:20140116T160000Z
DTEND:20140116T170000Z
UID:TALK49726@talks.cam.ac.uk
CONTACT:Philipe Mendonca
DESCRIPTION:Cortical computations are carried out by the concerted dynamic
 s of neural circuits comprised of a large number of neurons. While we have
  extensive knowledge of the cellular-level properties of cortical neurons\
 , we know very little about how they contribute to circuit-level computati
 ons. We have developed a theoretical framework based on the hypothesis tha
 t a wide range of these properties serve the purpose of allowing robust dy
 namics in a circuit in the face of the severe informational bottleneck imp
 osed by spike-based communication between the constituent neurons of the c
 ircuit. This theory accounts for different forms of short-term plasticity 
 as well as the well-known nonlinear integrative properties of dendrites. I
 n particular\, our theory allowed us to predict properties of short-term p
 lasticity in a synapse and dendritic integration in the postsynaptic neuro
 n based on the in vivo statistical patterns of activity in the presynaptic
  cell or population. Experimental data\, available in the literature and p
 rovided by our collaborators\, has confirmed these predictions. This work 
 thus offers a principled link between different levels of neural organisat
 ion most often studied in separation under the rubrics of "cellular" and "
 systems" neuroscience.
LOCATION:Hodgkin Huxley Seminar Room\, Physiology Building\, Downing Site
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