A neural mass model for MEG/EEG: coupling and neuronal dynamics.
about
Relationships between Electroencephalographic Spectral Peaks Across Frequency BandsIntra- and inter-frequency brain network structure in health and schizophreniaEyes Open on Sleep and Wake: In Vivo to In Silico Neural NetworksModeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass ModelsIncorporating priors for EEG source imaging and connectivity analysisCortical Resonance Frequencies Emerge from Network Size and ConnectivityCharacterization of K-complexes and slow wave activity in a neural mass modelModeling brain resonance phenomena using a neural mass modelInteraction of language, auditory and memory brain networks in auditory verbal hallucinationsA theory of cortical responsesA canonical model of multistability and scale-invariance in biological systemsPredicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based SimulationsA dynamic causal model study of neuronal population dynamicsRepetition suppression and plasticity in the human brain.Laboratory-induced learned helplessness attenuates approach motivation as indexed by posterior versus frontal theta activity.A Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) Time Series.Altered retrieval of melodic information in congenital amusia: insights from dynamic causal modeling of MEG data.Impaired pitch perception and memory in congenital amusia: the deficit starts in the auditory cortex.Neural masses and fields in dynamic causal modeling.Modeling habituation in rat EEG-evoked responses via a neural mass model with feedback.A dynamical pattern recognition model of γ activity in auditory cortex.Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network.Changing meaning causes coupling changes within higher levels of the cortical hierarchyDynamic causal modeling of the response to frequency deviants.Dynamic causal models of steady-state responses.Bayesian estimation of synaptic physiology from the spectral responses of neural masses.The functional anatomy of the MMN: a DCM study of the roving paradigmDynamic causal modelling of evoked potentials: a reproducibility study.Dynamic causal modelling for EEG and MEG.A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brain.Model-based feature construction for multivariate decoding.Seizure prediction in hippocampal and neocortical epilepsy using a model-based approach.Splenium of corpus callosum: patterns of interhemispheric interaction in children and adultsFunction-structure associations of the brain: evidence from multimodal connectivity and covariance studiesWithin brain area tractography suggests local modularity using high resolution connectomicsEstimation of effective connectivity via data-driven neural modeling.On the role of general system theory for functional neuroimaging.The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis.Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality.Generalized Laminar Population Analysis (gLPA) for Interpretation of Multielectrode Data from Cortex.
P2860
Q21129394-4C8B97D1-0BCC-4272-ABE6-55793D2026CEQ21132531-D5C2A26A-AC04-4E91-B067-0EE68074CC41Q26765239-EDF84572-C445-476E-A128-E952C28BFD6EQ26779179-333E2ADF-7257-4F88-ABBC-3FCF1AAA50BEQ26782914-EA9EE02E-8D9C-4CDE-A957-6E9D8C68626CQ27316740-7C902F9E-510D-4B2C-A47B-1B28EB27864DQ27320710-8B8AC0A9-05C0-45FD-9EF1-EF264853CDB0Q27332229-228D1019-21C4-48E8-9B8F-08C3DD08B7C8Q28066369-7DA3EB9C-2C0E-425E-AF7E-CE765B6D1C63Q28254705-6E55EE79-D6AD-4592-895D-7782CA7AEF7AQ28482152-B73B0B49-4C47-41D5-8978-F164DB9D8979Q28551466-BA6B6A75-3024-44D2-8BC6-D95B25BCA1F4Q28742504-613C0E71-4E68-4EE3-AC21-EF966D2AA02BQ28748908-66EA0795-BCC5-4B7C-A57F-5E49E86DDB32Q30252199-6DDB485A-E11E-4D86-8D65-3EB62D84B768Q30360473-ABEC9D4A-7174-4FCD-8430-1B86B1A0BD95Q30371931-1FB58491-E0C7-44B7-9363-CBD6D5B1E080Q30429745-E5D702C9-F815-4700-A390-9C4E971A8B86Q30453655-E7EEABE0-1A89-43BC-8DA9-A2849FE13DB4Q30465532-504FD460-0084-4E04-A2C7-EF0EAB537724Q30468628-20825D85-D29B-4DF8-81EB-CF1C0FEB304AQ30482035-BD7ED453-482C-4763-B282-93B45FAF0E6EQ30488433-4D67CB0F-5B87-462E-A8A5-9336B44325E5Q30489043-BC86C490-1180-487E-9659-2FBB3CE82D28Q30490168-7FA358BF-1F17-4145-9C26-16D98F828194Q30491216-62856C17-C17E-4673-8A62-7FB8F92951E1Q30491290-5E0D079E-418C-4AA3-BD75-A34E7296050CQ30491294-C49DB9AC-9768-4A7A-8759-744FF623D19FQ30492696-BBAEE90F-6AB0-4221-9474-338FD8D5DF2BQ30496645-73EFE315-16D4-452B-9373-ED7888803161Q30501015-3CDF5A2A-3F64-4411-9181-8FA6F371B707Q30576602-A3AC3903-A5FE-439A-BCB1-B2931CA76FD7Q30615192-7DB26F89-32D9-4E51-AE8F-49983E2B1A46Q30670952-2AB751B0-4D9E-4CFB-A186-A32327789030Q30833763-6A8FA936-9741-4BCE-9715-EFAEA377EC5EQ30878225-AE1E2339-1882-4A6E-A4BB-E743AF992D72Q30978917-31542577-7980-4A9D-ACB9-E53EF88EFA0DQ31001300-E9AEC01E-C28B-4B61-AFFD-D09ADAFA9079Q31005889-568CD7D3-3F07-4496-A577-1502BE50D9E4Q31042084-CA1AC008-B001-42F7-8D23-775D8C397AF6
P2860
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@en
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@nl
type
label
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@en
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@nl
prefLabel
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@en
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@nl
P1433
P1476
A neural mass model for MEG/EEG: coupling and neuronal dynamics.
@en
P2093
Olivier David
P304
P356
10.1016/J.NEUROIMAGE.2003.07.015
P407
P577
2003-11-01T00:00:00Z