Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

October 2010, Vol. 22, No. 10, Pages 2522-2536
(doi: 10.1162/NECO_a_00020)
© 2010 Massachusetts Institute of Technology
Probability of Repeating Patterns in Simultaneous Neural Data
Article PDF (206.17 KB)
Abstract

Large data sets arising from neurophysiological experiments are frequently observed with repeating temporal patterns. Our ability to decode these patterns is dependent on the development of methods to assess whether the patterns are significant or occurring by chance. Given a hypothesized sequence within these data, we derive probability formulas to allow assessment of the likelihood of recurrence occurring by chance. We illustrate our approach using data from hippocampal neurons from awake, behaving rats.