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A comment on "A fast L_p spike alignment metric" by A. J. Dubbs, B. A. Seiler and M. O. Magnasco [arXiv:0907.3137]
HOUGHTON, CONOR JAMES
non-peer-reviewed Measuring the transmitted information in metric-based clustering has become something of a standard test for the performance of a spike train metric. In this comment, the recently proposed L_p Victor-Purpura metric is used to cluster spiking responses to zebra finch songs, recorded from field L of anesthetized zebra finch. It is found that for these data the L_p metrics with p>1 modestly outperform the standard, p=1, Victor-Purpura metric. It is argued that this is because for larger values of p, the metric comes closer to performing windowed coincidence detection.
Keyword(s): Pure & Applied Mathematics
Publication Date:
2009
Type: Working paper
Peer-Reviewed: No
Language(s): English
Institution: Trinity College Dublin
Funder(s): Science Foundation Ireland
Citation(s): Conor Houghton 'A comment on "A fast L_p spike alignment metric" by A. J. Dubbs, B. A. Seiler and M. O. Magnasco' [arXiv:0907.3137], 2009
File Format(s): application/pdf
First Indexed: 2010-02-19 05:13:17 Last Updated: 2014-04-24 05:15:18