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SUMMARY:Swiss Computational Neuroscience Seminar: Features of spontaneous 
 activity and signal transmission in models of stochastic neurons
DTSTART:20131212T161500
DTSTAMP:20260408T032006Z
UID:93a3d604463dd4d53b56aeffaeded8d9c1d9214896331edcfcc24562
CATEGORIES:Conferences - Seminars
DESCRIPTION:Benjamin LINDNER\, Theory of Complex Systems and Neurophysics 
 at the Bernstein Center for Computational Neuroscience Berlin and the Phys
 ics Department of the Humboldt University Berlin\nNeurons in the brain gen
 erate action potentials (spikes) either spontaneously or in response to st
 imuli that carry information. Both aspects of neural activity can be model
 ed and studied analytically in the framework of stochastic integrate-and-f
 ire models.\nIn the first part of my talk I review recent results on the s
 pike train statistics of the spontaneous activity taking into account vari
 ous complications such as colored noise (arising from the synaptic filter\
 , stochastic oscillations in the input\, short-term synaptic plasticity\, 
 presynaptic bursting\, etc) or adaptation currents. I will show analytical
  results for the interspike-interval statistics (distribution and serial c
 orrelation coefficient) and discuss their application to experimental data
  (electro-sensory neurons of paddlefish\, auditory receptor cells in locus
 t).  Specifically\, I will focus on how colored noise and/or (stochastic)
  adaptation may lead to distinct patterns of interval correlations. The an
 alytical results can be used to infer or at least to constrain values of p
 hysiological parameters from spike train statistics.\nIn the second part o
 f my talk I will discuss a simple aspect of signal transmission: Does a ne
 uron transmit more information about slow or about fast components of a st
 imulus?  Using the so-called lower-bound estimate\, I show that standard 
 integrate-and-fire models transmit most information about low-frequency ba
 nds\, i.e. they act as a low-pass filter on information. However\, by cert
 ain cellular mechanisms (heterogeneous synaptic plasticity\, resonating su
 bthreshold dynamics) or mechanisms at the population level (presynaptic sy
 nchronous spiking)\, neurons can be turned into high-pass or band-pass fil
 ters of information. I also briefly discuss a frequency-resolved measure o
 f information transmission by means of which the notion of information fil
 tering can be generalized and previous predictions based on the lower boun
 d can be tested.
LOCATION:AAC132 http://plan.epfl.ch/?room=AAC132
STATUS:CONFIRMED
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