Dynamical estimation of neuron and network properties III: network analysis using neuron spike times.

Abstract:

:Estimating the behavior of a network of neurons requires accurate models of the individual neurons along with accurate characterizations of the connections among them. Whereas for a single cell, measurements of the intracellular voltage are technically feasible and sufficient to characterize a useful model of its behavior, making sufficient numbers of simultaneous intracellular measurements to characterize even small networks is infeasible. This paper builds on prior work on single neurons to explore whether knowledge of the time of spiking of neurons in a network, once the nodes (neurons) have been characterized biophysically, can provide enough information to usefully constrain the functional architecture of the network: the existence of synaptic links among neurons and their strength. Using standardized voltage and synaptic gating variable waveforms associated with a spike, we demonstrate that the functional architecture of a small network of model neurons can be established.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Knowlton C,Meliza CD,Margoliash D,Abarbanel HD

doi

10.1007/s00422-014-0601-y

subject

Has Abstract

pub_date

2014-06-01 00:00:00

pages

261-73

issue

3

eissn

0340-1200

issn

1432-0770

journal_volume

108

pub_type

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