Denoising neural data with state-space smoothing: method and application.
about
Is Granger causality a viable technique for analyzing fMRI data?Search for information-bearing components in neural data.Assessing Granger Causality in Electrophysiological Data: Removing the Adverse Effects of Common Signals via Bipolar Derivations.Estimation of cortical connectivity from EEG using state-space models.A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulationState-space algorithms for estimating spike rate functions.Time-variant partial directed coherence for analysing connectivity: a methodological study.Effect of measurement noise on Granger causality.Estimating causal dependencies in networks of nonlinear stochastic dynamical systems.
P2860
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P2860
Denoising neural data with state-space smoothing: method and application.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Denoising neural data with state-space smoothing: method and application.
@ast
Denoising neural data with state-space smoothing: method and application.
@en
type
label
Denoising neural data with state-space smoothing: method and application.
@ast
Denoising neural data with state-space smoothing: method and application.
@en
prefLabel
Denoising neural data with state-space smoothing: method and application.
@ast
Denoising neural data with state-space smoothing: method and application.
@en
P2093
P2860
P1476
Denoising neural data with state-space smoothing: method and application.
@en
P2093
Govindan Rangarajan
Hariharan Nalatore
Mingzhou Ding
P2860
P304
P356
10.1016/J.JNEUMETH.2009.01.013
P577
2009-01-22T00:00:00Z