Model dependence in quantification of spike interdependence by joint peri-stimulus time histogram.
about
Multiple neural spike train data analysis: state-of-the-art and future challengesConditional modeling and the jitter method of spike resampling.Statistical issues in the analysis of neuronal data.Cooperative and competitive interactions facilitate stereo computations in macaque primary visual cortex.A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons.Dynamics of stimulus-evoked spike timing correlations in the cat lateral geniculate nucleus.Investigation of possible neural architectures underlying information-geometric measures.Estimating membrane voltage correlations from extracellular spike trains.Information-geometric measure for neural spikes.Diversity, heterogeneity and orientation-dependent variation of spike count correlation in the cat visual cortex.Synchronous activity in cat visual cortex encodes collinear and cocircular contours.Statistical assessment of time-varying dependency between two neurons.
P2860
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P2860
Model dependence in quantification of spike interdependence by joint peri-stimulus time histogram.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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@zh-hans
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name
Model dependence in quantifica ...... peri-stimulus time histogram.
@en
Model dependence in quantifica ...... peri-stimulus time histogram.
@nl
type
label
Model dependence in quantifica ...... peri-stimulus time histogram.
@en
Model dependence in quantifica ...... peri-stimulus time histogram.
@nl
prefLabel
Model dependence in quantifica ...... peri-stimulus time histogram.
@en
Model dependence in quantifica ...... peri-stimulus time histogram.
@nl
P2860
P1433
P1476
Model dependence in quantifica ...... peri-stimulus time histogram.
@en
P2860
P304
P356
10.1162/089976600300015952
P577
2000-01-01T00:00:00Z