TY  - JOUR
A1  - Gansel, Kai S.
A1  - Singer, Wolf
T1  - Detecting multineuronal temporal patterns in parallel spike trains
T2  - Frontiers in neuroinformatics
N2  - We present a non-parametric and computationally efficient method that detects spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests whether the observed numbers of repeating patterns and sequences on a given timescale are significantly different from those expected by chance. The method is generally applicable and uncovers coordinated activity with arbitrary precision by comparing it to appropriate surrogate data. The analysis of coherent patterns of spatially and temporally distributed spiking activity on various timescales enables the immediate tracking of diverse qualities of coordinated firing related to neuronal state changes and information processing. We apply the method to simulated data and multineuronal recordings from rat visual cortex and show that it reliably discriminates between data sets with random pattern occurrences and with additional exactly repeating spatiotemporal patterns and pattern sequences. Multineuronal cortical spiking activity appears to be precisely coordinated and exhibits a sequential organization beyond the cell assembly concept.
KW  - spike pattern
KW  - cell assembly
KW  - phase sequence
KW  - synfire chain
KW  - synfire braid
KW  - rat visual cortex
Y1  - 2012
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/25202
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-252022
SN  - 1662-5196
VL  - 6
IS  - 18
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  -