Nonlinear estimation of synaptic conductances via piecewise linear systems
Document typeConference lecture
Rights accessOpen Access
This volume contains extended abstracts outlining selected talks and other selected presentations given by participants throughout theWe use the piecewise linear McKean model to present a proof-of-concept to address the estimation of synaptic conductances when a neuron is spiking. Using standard techniques of non-smooth dynamical systems, we obtain an approximation of the period in terms of the parameters of the system which allows to estimate the steady synaptic conductance of the spiking neuron. The method gives also fairly good estimations when the synaptic conductances vary slowly in time
CitationGuillamon, A. [et al.]. Nonlinear estimation of synaptic conductances via piecewise linear systems. A: "Extended abstracts Spring 2016 : nonsmooth dynamics". Cham: Birkhäuser Basel, 2017, p. 89-94.