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We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV (www.arxiv.org) that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint
88/2004

On the possible use of ICA to identify synaptic inputs from observations of several neurons

Pando Georgiev and Henry Tuckwell

Abstract

We consider the problem of separating and determining the time courses of various synaptic input currents from simultaneous recordings of the time courses of membrane potentials, including spikes, of several neurons. Employing a suitable mathematical model the method involves the differentiation of potentials and the use of ICA to determine the relative strengths of various synaptic inputs. At the same time the waveforms of those input currents are recovered. We illustrate the application to nonlinear point models with deterministic and stochasticinput currents,using a single-component Fitzhugh-Nagumo approximation.

Received:
Dec 3, 2004
Published:
Dec 3, 2004
Keywords:
ica for de's, synaptic input, neuron

Related publications

inJournal
2005 Repository Open Access
Pando Gr. Georgiev and Henry C. Tuckwell

On the possible use of ICA to identify synaptic inputs from observations of several neurons

In: Neurocomputing, 67 (2005), pp. 450-455