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SUMMARY:Complementary approaches to Synaptic Plasticity: Objective Functio
 ns and Biophysics - Rodrigo Echeveste\, Institute for Theoretical Physics\
 , Goethe University Frankfurt
DTSTART:20151007T083000Z
DTEND:20151007T091500Z
UID:TALK61442@talks.cam.ac.uk
CONTACT:Guillaume Hennequin
DESCRIPTION:Two complementary approaches for the modelling of synaptic pla
 sticity of rate encoding and spiking neurons respectively\, are presented.
  For rate encoding neurons\, a novel objective function and the resulting 
 self-limiting Hebbian learning rules are discussed and compared with tradi
 tional models like Oja's rule. We find that the new rules optimize non-Gau
 ssianity\, leading naturally to the tendency to perform an independent com
 ponent analysis. For spiking neurons\, a simplistic\, though biologically 
 motivated two-trace model for STDP is presented aiming to bridge the world
 s of detailed biophysical models and simple phenomenological rules. The mo
 del is shown to reproduce traditional pairwise STDP results\, as well as t
 riplet protocols. Finally\, frequency effects are studied numerically.
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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