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