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  • Access by Xinjiang University

Pinpointing connectivity despite hidden nodes within stimulus-driven networks

Duane Q. Nykamp

  • School of Mathematics, University of Minnesota, Minneapolis, Minnesota 55455, USA

Phys. Rev. E 78, 021902 – Published 6 August, 2008

DOI: https://doi.org/10.1103/PhysRevE.78.021902

Abstract

The effects of hidden nodes can lead to erroneous identification of connections among measured nodes in a network. For example, common input from a hidden node may cause correlations among a pair of measured nodes that could be misinterpreted as arising from a direct connection between the measured nodes. We present an approach to control for effects of hidden nodes in networks driven by a repeated stimulus. We demonstrate the promise of this approach via simulations of small networks of neurons driven by a visual stimulus.

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