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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
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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.
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Keyword(s):
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Pure & Applied Mathematics |
Publication Date:
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2009 |
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Type:
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Working paper |
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Peer-Reviewed:
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No |
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Language(s):
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English |
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Institution:
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Trinity College Dublin |
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Funder(s):
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Science Foundation Ireland |
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Citation(s):
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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 |
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File Format(s):
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application/pdf |
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First Indexed:
2014-05-13 05:55:53 Last Updated:
2015-03-23 11:31:39 |
