Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
about
Ten simple rules for dynamic causal modeling.Computational neurorehabilitation: modeling plasticity and learning to predict recoveryCausal Interactions between Frontal(θ) - Parieto-Occipital(α2) Predict Performance on a Mental Arithmetic Task.Dynamic causal models and physiological inference: a validation study using isoflurane anaesthesia in rodentsAlterations in brain connectivity underlying beta oscillations in ParkinsonismRepetition suppression and plasticity in the human brain.Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoringFree energy, precision and learning: the role of cholinergic neuromodulation.Modeling ketamine effects on synaptic plasticity during the mismatch negativity.Bayesian quantitative electrophysiology and its multiple applications in bioengineering.Neural masses and fields in dynamic causal modeling.Dynamic causal modeling with neural fieldsAnalyzing effective connectivity with functional magnetic resonance imaging.Dynamic causal models of steady-state responses.Dynamic causal modelling for EEG and MEG.Model-based feature construction for multivariate decoding.Seizure prediction in hippocampal and neocortical epilepsy using a model-based approach.Estimation of effective connectivity via data-driven neural modeling.Neuroimaging of cognition: past, present, and futureComputational and dynamic models in neuroimaging.Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and diseaseContrast gain control and horizontal interactions in V1: a DCM studyEEG and MEG data analysis in SPM8.Bayesian comparison of neurovascular coupling models using EEG-fMRI.DCM for complex-valued data: cross-spectra, coherence and phase-delays.A realistic neural mass model of the cortex with laminar-specific connections and synaptic plasticity - evaluation with auditory habituation.A DCM study of spectral asymmetries in feedforward and feedback connections between visual areas V1 and V4 in the monkey.Slow Spatial Recruitment of Neocortex during Secondarily Generalized Seizures and Its Relation to Surgical Outcome.Connectivity changes underlying spectral EEG changes during propofol-induced loss of consciousness.Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modellingWaking and dreaming consciousness: neurobiological and functional considerations.Distributed processing; distributed functions?Electrocorticography reveals beta desynchronization in the basal ganglia-cortical loop during rest tremor in Parkinson's disease.The Brain Connectivity Workshops: moving the frontiers of computational systems neuroscience.Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex.Nonlinear dynamic causal models for fMRI.Changes in EEG power spectral density and cortical connectivity in healthy and tetraplegic patients during a motor imagery task.Canonical microcircuits for predictive codingEffective connectivity: influence, causality and biophysical modelingRestoring brain function after stroke - bridging the gap between animals and humans.
P2860
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P2860
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
description
2008 nî lūn-bûn
@nan
2008 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
name
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@ast
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@en
type
label
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@ast
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@en
prefLabel
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@ast
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@en
P2093
P2860
P1433
P1476
Bayesian estimation of synaptic physiology from the spectral responses of neural masses.
@en
P2093
P2860
P304
P356
10.1016/J.NEUROIMAGE.2008.01.025
P407
P577
2008-02-01T00:00:00Z