TY - JOUR
T1 - Pinpointing connectivity despite hidden nodes within stimulus-driven networks
AU - Nykamp, Duane Q.
PY - 2008/8/6
Y1 - 2008/8/6
N2 - 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.
AB - 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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U2 - 10.1103/PhysRevE.78.021902
DO - 10.1103/PhysRevE.78.021902
M3 - Article
C2 - 18850860
AN - SCOPUS:49449100663
SN - 1539-3755
VL - 78
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 2
M1 - 021902
ER -