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.
journal_name
Neural Computjournal_title
Neural computationauthors
Harrison MTdoi
10.1162/NECO_a_00399subject
Has Abstractpub_date
2013-02-01 00:00:00pages
418-49issue
2eissn
0899-7667issn
1530-888Xjournal_volume
25pub_type
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