TY - GEN
T1 - Inferring neural connectivity via measured delay in directed information estimates
AU - Soltani, Nima
AU - Goldsmith, Andrea
PY - 2013
Y1 - 2013
N2 - Directed information between two neural signals has previously been used to successfully determine if there is a synapse connecting one neuron to the other. However, there are situations in which the directed information method leads to false positives for detecting connections due to the influence of a third neuron. We propose a method that accounts for these cases using the delay-profile of the causally-conditioned entropy rate to find a measured delay range and its intersection with a connection-based delay range. Through simulations in NEURON, we show how this method outperforms connectivity inference based on directed information alone.
AB - Directed information between two neural signals has previously been used to successfully determine if there is a synapse connecting one neuron to the other. However, there are situations in which the directed information method leads to false positives for detecting connections due to the influence of a third neuron. We propose a method that accounts for these cases using the delay-profile of the causally-conditioned entropy rate to find a measured delay range and its intersection with a connection-based delay range. Through simulations in NEURON, we show how this method outperforms connectivity inference based on directed information alone.
UR - http://www.scopus.com/inward/record.url?scp=84890374725&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2013.6620677
DO - 10.1109/ISIT.2013.6620677
M3 - Conference contribution
AN - SCOPUS:84890374725
SN - 9781479904464
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2503
EP - 2507
BT - 2013 IEEE International Symposium on Information Theory, ISIT 2013
T2 - 2013 IEEE International Symposium on Information Theory, ISIT 2013
Y2 - 7 July 2013 through 12 July 2013
ER -