When two become one: the limits of causality analysis of brain dynamics.
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[1] V. Mountcastle,et al. Response properties of neurons of cat's somatic sensory cortex to peripheral stimuli. , 1957, Journal of neurophysiology.
[2] D. Hubel,et al. Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.
[3] C. W. J. Granger,et al. Economic Processes Involving Feedback , 1963, Inf. Control..
[4] E. Evarts. Pyramidal tract activity associated with a conditioned hand movement in the monkey. , 1966, Journal of neurophysiology.
[5] J. Cowan,et al. Excitatory and inhibitory interactions in localized populations of model neurons. , 1972, Biophysical journal.
[6] H. Marko,et al. The Bidirectional Communication Theory - A Generalization of Information Theory , 1973, IEEE Transactions on Communications.
[7] D. Rubin. Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .
[8] C. Granger. Testing for causality: a personal viewpoint , 1980 .
[9] D. A. Kenny,et al. Correlation and Causation , 1937, Wilmott.
[10] D. A. Kenny,et al. Correlation and Causation. , 1982 .
[11] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .
[12] Jorma Rissanen,et al. Measures of mutual and causal dependence between two time series , 1987, IEEE Trans. Inf. Theory.
[13] C. Gouriéroux,et al. Kullback Causality Measures , 1987 .
[14] M K Habib,et al. Dynamics of neuronal firing correlation: modulation of "effective connectivity". , 1989, Journal of neurophysiology.
[15] Judea Pearl,et al. Equivalence and Synthesis of Causal Models , 1990, UAI.
[16] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[17] Jianhua Lin,et al. Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.
[18] Karl J. Friston. Functional and effective connectivity in neuroimaging: A synthesis , 1994 .
[19] James M. Robins,et al. Causal Inference from Complex Longitudinal Data , 1997 .
[20] R. Shapley,et al. New perspectives on the mechanisms for orientation selectivity , 1997, Current Opinion in Neurobiology.
[21] Judea Pearl,et al. Axioms of Causal Relevance , 1997, Artif. Intell..
[22] G. Shaw,et al. Maternal pesticide exposure from multiple sources and selected congenital anomalies. , 1999 .
[23] J. Pearl,et al. Causal diagrams for epidemiologic research. , 1999, Epidemiology.
[24] R. Dahlhaus. Graphical interaction models for multivariate time series1 , 2000 .
[25] Schreiber,et al. Measuring information transfer , 2000, Physical review letters.
[26] Mingzhou Ding,et al. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance , 2001, Biological Cybernetics.
[27] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[28] C. Granger. Testing for causality: a personal viewpoint , 1980 .
[29] M. Eichler. Granger causality and path diagrams for multivariate time series , 2007 .
[30] T. Schreiber,et al. Information transfer in continuous processes , 2002 .
[31] J. Martinerie,et al. Statistical assessment of nonlinear causality: application to epileptic EEG signals , 2003, Journal of Neuroscience Methods.
[32] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[33] Katarzyna J. Blinowska,et al. A new method of the description of the information flow in the brain structures , 1991, Biological Cybernetics.
[34] S. Bressler,et al. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[35] P. F. Verdes. Assessing causality from multivariate time series. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[36] Michael Eichler,et al. A graphical approach for evaluating effective connectivity in neural systems , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[37] Rainer Goebel,et al. Mapping directed influence over the brain using Granger causality and fMRI , 2005, NeuroImage.
[38] A. Sillito,et al. Always returning: feedback and sensory processing in visual cortex and thalamus , 2006, Trends in Neurosciences.
[39] Olaf Sporns,et al. Mapping Information Flow in Sensorimotor Networks , 2006, PLoS Comput. Biol..
[40] Yasuo Kuniyoshi,et al. Methods for Quantifying the Causal Structure of bivariate Time Series , 2007, Int. J. Bifurc. Chaos.
[41] Anil K. Seth,et al. Distinguishing Causal Interactions in Neural Populations , 2007, Neural Computation.
[42] M. Paluš,et al. Directionality of coupling from bivariate time series: how to avoid false causalities and missed connections. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[43] M. Corbetta,et al. Top-Down Control of Human Visual Cortex by Frontal and Parietal Cortex in Anticipatory Visual Spatial Attention , 2008, The Journal of Neuroscience.
[44] J. Pearl,et al. Bounds on Direct Effects in the Presence of Confounded Intermediate Variables , 2008, Biometrics.
[45] Victor Solo,et al. On causality and mutual information , 2008, 2008 47th IEEE Conference on Decision and Control.
[46] van der Arjan Schaft,et al. Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico , 2008, CDC.
[47] Daniel Polani,et al. Information Flows in Causal Networks , 2008, Adv. Complex Syst..
[48] N. Logothetis,et al. Frontiers in Integrative Neuroscience Integrative Neuroscience Directed Interactions between Auditory and Superior Temporal Cortices and Their Role in Sensory Integration , 2022 .
[49] Olivier J. J. Michel,et al. On directed information theory and Granger causality graphs , 2010, Journal of Computational Neuroscience.
[50] N. Logothetis,et al. The effects of electrical microstimulation on cortical signal propagation , 2010, Nature Neuroscience.
[51] Gustavo Deco,et al. Optimal Information Transfer in the Cortex through Synchronization , 2010, PLoS Comput. Biol..
[52] Bernhard Schölkopf,et al. Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis , 2010, Journal of Computational Neuroscience.
[53] Russell A. Poldrack,et al. Six problems for causal inference from fMRI , 2010, NeuroImage.
[54] Raymond J. Dolan,et al. Computational and dynamic models in neuroimaging , 2010, NeuroImage.
[55] Gordon Pipa,et al. Transfer entropy—a model-free measure of effective connectivity for the neurosciences , 2010, Journal of Computational Neuroscience.
[56] Mikhail Prokopenko,et al. Differentiating information transfer and causal effect , 2008, 0812.4373.
[57] Michael Eichler,et al. On Granger causality and the effect of interventions in time series , 2009, Lifetime data analysis.
[58] P. J. Sjöström,et al. Functional specificity of local synaptic connections in neocortical networks , 2011, Nature.
[59] D. Chicharro,et al. On the spectral formulation of Granger causality , 2011, Biological Cybernetics.
[60] Klaas E. Stephan,et al. Dynamic causal modelling: A critical review of the biophysical and statistical foundations , 2011, NeuroImage.
[61] Steven L. Bressler,et al. Wiener–Granger Causality: A well established methodology , 2011, NeuroImage.
[62] Rainer Goebel,et al. The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution , 2011, NeuroImage.
[63] Karl J. Friston,et al. Effective connectivity: Influence, causality and biophysical modeling , 2011, NeuroImage.
[64] Gabriele Lohmann,et al. Critical comments on dynamic causal modelling , 2012, NeuroImage.
[65] M. Gelabert-González,et al. [Deep brain stimulation in Parkinson's disease]. , 2013, Revista de neurologia.