Regensburg 2002 – scientific programme

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SYPH: Physik im Hirn - Physical Approaches to Brain Function

SYPH 2: Physik im Hirn - Physical Approaches to Brain Function

SYPH 2.2: Poster

Thursday, March 14, 2002, 15:30–18:00, Poster D

Significance Estimation of Joint-Events based on Shuffling and Resampling — •Gordon Pipa, Wolf Singer, and Sonja Grün — MPI for Brain Research, Frankfurt/Main, Germany

The ’unitary event’ analysis method [1] was designed to analyze multiple parallel spike trains for correlated activity. The null-hypothesis assumes Poissonian statistics, however experimental data may fail to be consistent with this assumption. Therefore we worked out a non-parametrical significance test that considers the original spike train structure of experimental data. The distribution for coincidences reflecting the null-hypothesis of independence, is generated by trial shuffling such that inter-trial correspondences are intensionally destroyed. This is realized by a Monte-Carlo procedure [2]. Using the newly developed method, we investigated how point processes with temporal structure (realized as γ-processes [3]) influence the detectability and significance estimation of coincident spike events.
[1] Grün et al (2002a,b) Neural Computation 14(1) (in press)
[2] Efron & Tibshirani (1998) Chapmann & Hall
[3] Baker & Gerstein (2000) Neural Computation 12:2597-2620