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Magnus Richardson (Warwick Systems Biology Centre, University of Warwick, Coventry, UK) | Experimentally verified neuron models and mathematical tools for their analyses

When May 29, 2012
from 05:15 PM to 06:45 PM
Where Lecture Hall, Hansastr. 9a
Contact Name Stefan Rotter
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Abstract

In this talk I will review some of the efforts we have made over the last few years to develop mathematically tractable and experimentally tested models of neocortical neurons and synapses. Using a dynamic IV curve method I will show how surprisingly accurate non-linear integrate-and-fire models can be extracted from a few tens of seconds of intracellular recording. In the context of stochastic synaptic drive, I will outline a simple method for deriving the steady-state and dynamical properties of populations and networks comprised of this class of verified model neuron. I will then go on to cover recent experimental and theoretical work on the effect of the finite amplitude of post-synaptic potentials on integration and transmission between neocortical cells.

 

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