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SUMMARY:LCN Seminar: Variability of neuronal signal: from diffusion models
  to statistical methods
DTSTART:20131031T133000
DTSTAMP:20260930T211153Z
UID:ca50835faabe1de5d6378e8e1ab118917172f2462a7c34a32058c9da
CATEGORIES:Conferences - Seminars
DESCRIPTION:Petr LANSKY\, Institute of Physiology\, Academy of Sciences of
  the Czech Republic\nA single neuron exhibits different responses to repea
 ted identical stimuli under identical conditions. Similar stochasticity al
 so appears in firing patterns of neurons without experimentally controlled
  stimulation. Existence of this variability evokes questions and studies o
 n stochastic features of neuronal activity are an active research area.\nT
 he aim of the talk is to point to our recent results on statistical method
 s applicable to neuronal spiking data. In contrast to experimental approac
 hes we do not expect to explain the principles of neuronal coding but we w
 ish to formalize the data description and to quantify what information can
  be deduced from them.\nThe mixed notion of signal and noise in neuronal m
 odels is discussed.  Even the concept of mean firing frequency can be mis
 leading and this is enhanced for more complex characteristics. Alternative
  measures of variability and randomness are compared and statistical treat
 ment of quantities beyond frequency\, either from serial or parallel data\
 , is summarized.
LOCATION:SG0213 http://plan.epfl.ch/?room=sg0213
STATUS:CONFIRMED
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