Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals

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Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals

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наукова стаття, опублікована у 2012

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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P1476

Mathematical Issues in the Inf ...... ng Multichannel Neural Signals

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P2093

Chang-Hwan Im

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Kyung Hwan Kim

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Young-Jin Jung

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P2860

Measuring Information Transfer

A new look at the statistical model identification

Estimation of the Kolmogorov entropy from a chaotic signal

Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables

Distribution of the Estimators for Autoregressive Time Series With a Unit Root

Estimating the Dimension of a Model

Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).

Parallel versus serial processing dependencies in the perisylvian speech network: a Granger analysis of intracranial EEG data.

Lexical influences on speech perception: a Granger causality analysis of MEG and EEG source estimates

Identifying true brain interaction from EEG data using the imaginary part of coherency.

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1-14

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scholarly article

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10.1155/2012/472036

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2012

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P577

2012-01-01T00:00:00Z

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