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

TitleDynamical estimation of neuron and network properties III: network analysis using neuron spike times
Publication TypeJournal Article
Year of Publication2014
AuthorsKnowlton C., Meliza C.D, Margoliash D., Abarbanel H.DI
JournalBiological Cybernetics
Volume108
Pagination261-273
Date Published2014/06
Type of ArticleArticle
ISBN Number0340-1200
Accession NumberWOS:000336799300002
Keywordsalgorithm; Data assimilation; networks; Neuronal dynamics
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.

DOI10.1007/s00422-014-0601-y
Short TitleBiol. Cybern.
Integrated Research Themes: 
Student Publication: 
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