Ten simple rules for dynamic causal modeling
暂无分享,去创建一个
Karl J. Friston | William D. Penny | Klaas E. Stephan | Jean Daunizeau | Rosalyn J. Moran | Hanneke E. M. den Ouden | J. Daunizeau | W. Penny | K. Stephan | R. Moran | H. D. Ouden
[1] Karl J. Friston,et al. Dynamic causal modelling of evoked potentials: A reproducibility study , 2007, NeuroImage.
[2] Karl J. Friston,et al. Bayesian estimation of synaptic physiology from the spectral responses of neural masses , 2008, NeuroImage.
[3] Wei Chu,et al. Relational Learning with Gaussian Processes , 2006, NIPS.
[4] Karl J. Friston,et al. Changing meaning causes coupling changes within higher levels of the cortical hierarchy , 2009, Proceedings of the National Academy of Sciences.
[5] Karl J. Friston,et al. Integrated Bayesian models of learning and decision making for saccadic eye movements☆ , 2008, Neural Networks.
[6] Anthony Randal McIntosh,et al. Towards a network theory of cognition , 2000, Neural Networks.
[7] William D. Penny,et al. Bayesian neural networks for classification: how useful is the evidence framework? , 1999, Neural Networks.
[8] Karl J. Friston,et al. Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling , 2010 .
[9] M. Mesulam,et al. Shifts of Effective Connectivity within a Language Network during Rhyming and Spelling , 2005, The Journal of Neuroscience.
[10] Karl J. Friston,et al. a K.E. Stephan, a R.B. Reilly, , 2007 .
[11] Karl J. Friston,et al. Multiple sparse priors for the M/EEG inverse problem , 2008, NeuroImage.
[12] C. Segebarth,et al. Identifying Neural Drivers with Functional MRI: An Electrophysiological Validation , 2008, PLoS biology.
[13] Karl J. Friston,et al. The Cortical Dynamics of Intelligible Speech , 2008, The Journal of Neuroscience.
[14] P. Dayan,et al. A framework for mesencephalic dopamine systems based on predictive Hebbian learning , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[15] Karl J. Friston,et al. Tractography-based priors for dynamic causal models , 2009, NeuroImage.
[16] Karl J. Friston,et al. Variational free energy and the Laplace approximation , 2007, NeuroImage.
[17] M. Breakspear. "Dynamic" connectivity in neural systems: theoretical and empirical considerations. , 2004, Neuroinformatics.
[18] J. Disterhoft,et al. Learning-related postburst afterhyperpolarization reduction in CA1 pyramidal neurons is mediated by protein kinase A , 2009, Proceedings of the National Academy of Sciences.
[19] Karl J. Friston,et al. Dynamic causal models of neural system dynamics: current state and future extensions , 2007, Journal of Biosciences.
[20] Karl J. Friston. Functional and effective connectivity in neuroimaging: A synthesis , 1994 .
[21] Karl J. Friston,et al. Dynamic causal modelling of induced responses , 2008, NeuroImage.
[22] K. Amunts,et al. Effective connectivity of the left BA 44, BA 45, and inferior temporal gyrus during lexical and phonological decisions identified with DCM , 2009, Human brain mapping.
[23] Karl J. Friston,et al. Modelling functional integration: a comparison of structural equation and dynamic causal models , 2004, NeuroImage.
[24] Karl J. Friston,et al. Large-scale neural models and dynamic causal modelling , 2006, NeuroImage.
[25] Karl J. Friston,et al. Forward and backward connections in the brain: A DCM study of functional asymmetries , 2009, NeuroImage.
[26] Philip K. McGuire,et al. Fronto-temporal Interactions during Overt Verbal Initiation and Suppression , 2008, Journal of Cognitive Neuroscience.
[27] Ivan Toni,et al. Parieto-Frontal Connectivity during Visually Guided Grasping , 2007, The Journal of Neuroscience.
[28] I. J. Myung,et al. When a good fit can be bad , 2002, Trends in Cognitive Sciences.
[29] Nick C. Fox,et al. Ten simple rules for reporting voxel-based morphometry studies , 2008, NeuroImage.
[30] Gabriele Lohmann,et al. Bayesian second-level analysis of functional magnetic resonance images , 2003, NeuroImage.
[31] Karl J. Friston,et al. A Dynamic Causal Modeling Study on Category Effects: BottomUp or TopDown Mediation? , 2003, Journal of Cognitive Neuroscience.
[32] Mark W. Greenlee,et al. Connectivity modulation of early visual processing areas during covert and overt tracking tasks , 2008, NeuroImage.
[33] Karl J. Friston,et al. A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[34] Karl J. Friston,et al. Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.
[35] Russell A. Poldrack,et al. Guidelines for reporting an fMRI study , 2008, NeuroImage.
[36] Todd B. Parrish,et al. Altered Effective Connectivity within the Language Network in Primary Progressive Aphasia , 2007, The Journal of Neuroscience.
[37] Karl J. Friston,et al. PHRENOLOGY : What Can Neuroimaging Tell Us About Distributed Circuitry ? , 2005 .
[38] J. O'Doherty,et al. The Role of the Ventromedial Prefrontal Cortex in Abstract State-Based Inference during Decision Making in Humans , 2006, The Journal of Neuroscience.
[39] Karl J. Friston,et al. Dynamic causal modeling: A generative model of slice timing in fMRI , 2007, NeuroImage.
[40] F. Gonzalez-Lima,et al. Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .
[41] A. Dickinson,et al. Neuronal coding of prediction errors. , 2000, Annual review of neuroscience.
[42] Karl J. Friston,et al. Repetition suppression and plasticity in the human brain , 2009, NeuroImage.
[43] Karl J. Friston,et al. Selecting forward models for MEG source-reconstruction using model-evidence , 2009, NeuroImage.
[44] C. Summerfield,et al. A Neural Representation of Prior Information during Perceptual Inference , 2008, Neuron.
[45] Karl J. Friston,et al. Interhemispheric Integration of Visual Processing during Task-Driven Lateralization , 2007, The Journal of Neuroscience.
[46] Karl J. Friston,et al. Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri , 2022 .
[47] Karl J. Friston,et al. Bayesian model selection for group studies , 2009, NeuroImage.
[48] Karl J. Friston,et al. Dynamic causal modelling of distributed electromagnetic responses , 2009, NeuroImage.
[49] R. Guillery,et al. On the actions that one nerve cell can have on another: distinguishing "drivers" from "modulators". , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[50] Karl J. Friston. Causal Modelling and Brain Connectivity in Functional Magnetic Resonance Imaging , 2009, PLoS biology.
[51] Karl J. Friston,et al. A Dual Role for Prediction Error in Associative Learning , 2008, Cerebral cortex.
[52] Karl J. Friston,et al. Dynamic causal modelling for fMRI: A two-state model , 2008, NeuroImage.
[53] Karl J. Friston,et al. Comparing hemodynamic models with DCM , 2007, NeuroImage.
[54] Karl J. Friston,et al. Comparing dynamic causal models , 2004, NeuroImage.
[55] Karl J. Friston,et al. Comparing Families of Dynamic Causal Models , 2010, PLoS Comput. Biol..
[56] Karl J. Friston,et al. The functional anatomy of the MMN: A DCM study of the roving paradigm , 2008, NeuroImage.
[57] Raymond J. Dolan,et al. Dynamic causal models of steady-state responses , 2009, NeuroImage.
[58] Andrea B Protzner,et al. Testing effective connectivity changes with structural equation modeling: What does a bad model tell us? , 2006, Human brain mapping.
[59] Karl J. Friston,et al. Hierarchical Processing of Auditory Objects in Humans , 2007, PLoS Comput. Biol..
[60] D. McCormick,et al. Convergence and divergence of neurotransmitter action in human cerebral cortex. , 1989, Proceedings of the National Academy of Sciences of the United States of America.
[61] G. Fink,et al. Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging , 2008, Annals of neurology.
[62] Karl J. Friston,et al. Dynamic causal modeling , 2010, Scholarpedia.
[63] Karl J. Friston,et al. Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization , 2006, NeuroImage.
[64] Jennifer A. Mangels,et al. Predictive Codes for Forthcoming Perception in the Frontal Cortex , 2006, Science.
[65] W. Regehr,et al. Short-term synaptic plasticity. , 2002, Annual review of physiology.
[66] K. Svoboda,et al. Experience-dependent structural synaptic plasticity in the mammalian brain , 2009, Nature Reviews Neuroscience.
[67] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[68] A. McIntosh,et al. Neural modeling, functional brain imaging, and cognition , 1999, Trends in Cognitive Sciences.
[69] Wenxiao Lu,et al. D1 dopamine receptor stimulation increases GluR1 phosphorylation in postnatal nucleus accumbens cultures , 2002, Journal of neurochemistry.
[70] Karl J. Friston,et al. Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG , 2008, NeuroImage.
[71] S Jbabdi,et al. FMRI Dynamic Causal Modelling with Inferred Regions of Interest , 2009, NeuroImage.
[72] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[73] N. Nagelkerke,et al. A note on a general definition of the coefficient of determination , 1991 .
[74] Geraint Rees,et al. Attentional integration between anatomically distinct stimulus representations in early visual cortex. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[75] A. Ishai,et al. Effective connectivity within the distributed cortical network for face perception. , 2007, Cerebral cortex.
[76] Karl J. Friston,et al. Dynamic causal modeling of evoked responses in EEG and MEG , 2006, NeuroImage.
[77] Adrian E. Raftery,et al. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .
[78] Karl J. Friston,et al. A critique of functional localisers , 2006, NeuroImage.
[79] Karl J. Friston,et al. Dynamic Causal Models for phase coupling , 2009, Journal of Neuroscience Methods.
[80] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[81] Philip E Bourne,et al. Ten Simple Rules for Getting Published , 2005, PLoS Comput. Biol..
[82] Derek J. Pike,et al. Empirical Model‐building and Response Surfaces. , 1988 .
[83] Anish Arora,et al. Phosphorylation of AMPA receptors , 2005, Molecular Neurobiology.
[84] Karl J. Friston,et al. Biophysical models of fMRI responses , 2004, Current Opinion in Neurobiology.
[85] Karl J. Friston,et al. The effect of prior visual information on recognition of speech and sounds. , 2008, Cerebral cortex.
[86] Karl J. Friston,et al. Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models , 2009, Physica D. Nonlinear phenomena.
[87] Thomas Knöpfel,et al. Book Review: Metabotropic Glutamate Receptors: Electrical and Chemical Signaling Properties , 2002, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[88] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[89] Klaas Enno Stephan,et al. On the role of general system theory for functional neuroimaging , 2004, Journal of anatomy.
[90] Ewald Moser,et al. Multi-subject analyses with dynamic causal modeling , 2010, NeuroImage.
[91] R. Dolan,et al. Task and Content Modulate Amygdala-Hippocampal Connectivity in Emotional Retrieval , 2006, Neuron.
[92] E. Bullmore,et al. How Good Is Good Enough in Path Analysis of fMRI Data? , 2000, NeuroImage.