Assessment of synchrony in multiple neural spike trains using loglinear point process models

Annals of Applied Statistics

Volumn 5, Issue 2 B, 2011, Pages 1262-1292

  Kass, Robert E ^a,b   Kelly, Ryan C ^a,b   Loh, Wei Liem ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Discrete time approximation; Loglinear model; Marked process; Nonstationary point process; Simultaneous events; Spike train; Synchrony detection

Indexed keywords

EID: 84861109928     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/10-AOAS429     Document Type: Article

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