Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:B2L-C

Session:

Number:382

Estimation of connectivities of neurons using multi-dimensional scaling

Kaori Kuroda,  Hiroki Hashiguchi,  Tohru Ikeguchi,  

pp.382-385

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.382

PDF download (322.8KB)

We propose a method of estimating connectivities between neurons only from observed spike sequences using the multi-dimensional scaling. In this method, first, we calculate the spike time metric which quantifies a metric distance between the observed spike sequences. Next, to represent a relationship among spike sequences in the Euclidean space, we apply the multi-dimensional scaling to the metric distance between spike sequences. Then we calculate the partial directed coherence from coordinates transformed from the metric distance by the multi-dimensional scaling. As a result, we can estimate the connectivities between neurons from multiple spike sequences even though the neurons have many common spurious inputs from the other neurons.

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