about
Generative models of cortical oscillations: neurobiological implications of the kuramoto modelTen simple rules for dynamic causal modeling.Eyes Open on Sleep and Wake: In Vivo to In Silico Neural NetworksCombined neurostimulation and neuroimaging in cognitive neuroscience: past, present, and futureA dynamical pattern recognition model of γ activity in auditory cortex.Analyzing effective connectivity with functional magnetic resonance imaging.High-frequency neural activity and human cognition: past, present and possible future of intracranial EEG research.Uncovering phase-coupled oscillatory networks in electrophysiological data.EEG and MEG data analysis in SPM8.Dynamic causal modelling of anticipatory skin conductance responses.Movement-related theta rhythm in humans: coordinating self-directed hippocampal learningDynamic causal modeling of spontaneous fluctuations in skin conductance.Network discovery with DCMEffective connectivity of visual word recognition and homophone orthographic errors.Quantifying Neural Oscillatory Synchronization: A Comparison between Spectral Coherence and Phase-Locking Value Approaches.Setting up the speech production network: how oscillations contribute to lateralized information routing.Ventromedial prefrontal cortex drives hippocampal theta oscillations induced by mismatch computationsHippocampal effective synchronization values are not pre-seizure indicator without considering the state of the onset channels.Neocortical-hippocampal dynamics of working memory in healthy and diseased brain states based on functional connectivity.Dynamic causal modelling for functional near-infrared spectroscopy.Gradient-based MCMC samplers for dynamic causal modelling.Dynamical Bayesian inference of time-evolving interactions: from a pair of coupled oscillators to networks of oscillators.Estimation of effective brain connectivity with dual Kalman filter and EEG source localization methods.A dynamical systems approach for estimating phase interactions between rhythms of different frequencies from experimental data.Reconstructing networks of pulse-coupled oscillators from spike trains.Alterations in the coupling functions between cerebral oxyhaemoglobin and arterial blood pressure signals in post-stroke subjects.Inference of Time-Evolving Coupled Dynamical Systems in the Presence of Noise
P2860
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P2860
description
2009 nî lūn-bûn
@nan
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
2009年论文
@zh
2009年论文
@zh-cn
name
Dynamic Causal Models for phase coupling.
@en
Dynamic Causal Models for phase coupling.
@nl
type
label
Dynamic Causal Models for phase coupling.
@en
Dynamic Causal Models for phase coupling.
@nl
prefLabel
Dynamic Causal Models for phase coupling.
@en
Dynamic Causal Models for phase coupling.
@nl
P2860
P50
P1476
Dynamic Causal Models for phase coupling
@en
P2093
P2860
P356
10.1016/J.JNEUMETH.2009.06.029
P577
2009-07-02T00:00:00Z