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ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

February 2013, Vol. 25, No. 2, Pages 418-449.
(doi: 10.1162/NECO_a_00399)
© 2013 Massachusetts Institute of Technology
Accelerated Spike Resampling for Accurate Multiple Testing Controls
Article PDF (1.42 MB)
Abstract

Controlling for multiple hypothesis tests using standard spike resampling techniques often requires prohibitive amounts of computation. Importance sampling techniques can be used to accelerate the computation. The general theory is presented, along with specific examples for testing differences across conditions using permutation tests and for testing pairwise synchrony and precise lagged-correlation between many simultaneously recorded spike trains using interval jitter.