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This article is part of the supplement: Sixteenth Annual Computational Neuroscience Meeting: CNS*2007

Open Access Open Badges Poster presentation

Network reconstruction in the presence of unmeasured neurons

Duane Q Nykamp

Author Affiliations

Department of Mathematics, University of Minnesota, Minneapolis, MN 55455, USA

BMC Neuroscience 2007, 8(Suppl 2):P20  doi:10.1186/1471-2202-8-S2-P20

The electronic version of this article is the complete one and can be found online at:

Published:6 July 2007

© 2007 Nykamp; licensee BioMed Central Ltd.

Poster presentation

We present a method to determine whether a correlation in the spikes of two neurons is due to a causal connection between the neurons or due to common input originating from unmeasured neurons. The distinction is based on a point-process model of how a neuron's spiking probability can depend on both its own spiking history and a stimulus (or other external variables). Although the results depend on selecting a parametric model that captures essential features of the neural response, a large class of models can be used with the network analysis. Hence, the analysis could be applied to probe circuitry in a large range of neuronal systems.