-
1
-
-
0033190863
-
On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings
-
doi: 10.1007/s004220050556
-
Bernasconi, C., and König, P. (1999). On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings. Biol. Cybern. 81, 199-210. doi: 10.1007/s004220050556
-
(1999)
Biol. Cybern.
, vol.81
, pp. 199-210
-
-
Bernasconi, C.1
König, P.2
-
2
-
-
78651321666
-
Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis
-
doi: 10.1007/s10827-010-0236-5
-
Besserve, M., Scholkopf, B., Logothetis, N. K., and Panzeri, S. (2010). Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. J. Comput. Neurosci. 29, 547-566. doi: 10.1007/s10827-010-0236-5
-
(2010)
J. Comput. Neurosci.
, vol.29
, pp. 547-566
-
-
Besserve, M.1
Scholkopf, B.2
Logothetis, N.K.3
Panzeri, S.4
-
3
-
-
80051715130
-
Wiener-Granger causality: A well-established methodology
-
doi: 10.1016/j.neuroimage.2010.02.059
-
Bressler, S. L., and Seth, A. K. (2011). Wiener-Granger causality: a well-established methodology. Neuroimage 58, 323-329. doi: 10.1016/j.neuroimage.2010.02.059
-
(2011)
Neuroimage
, vol.58
, pp. 323-329
-
-
Bressler, S.L.1
Seth, A.K.2
-
4
-
-
60549103853
-
Complex brain networks: Graph theoretical analysis of structural and functional systems
-
doi: 10.1038/nrn2575
-
Bullmore, E., and Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 187-198. doi: 10.1038/nrn2575
-
(2009)
Nat. Rev. Neurosci.
, vol.10
, pp. 187-198
-
-
Bullmore, E.1
Sporns, O.2
-
5
-
-
84858075323
-
On the spectral formulation of Granger causality
-
doi: 10.1007/s00422-011-0469-z
-
Chicharro, D. (2011). On the spectral formulation of Granger causality. Biol. Cybern. 105, 331-347. doi: 10.1007/s00422-011-0469-z
-
(2011)
Biol. Cybern.
, vol.105
, pp. 331-347
-
-
Chicharro, D.1
-
6
-
-
84901817513
-
Parametric and non-parametric criteria for causal inference from time-series
-
in, Understanding Complex Systems, eds M. Wibral, R. Vicente, and J. T. Lizier (Berlin; Heidelberg: Springer-Verlag), doi: 10.1007/978-3-642-54474-3_8
-
Chicharro, D. (2014a). "Parametric and non-parametric criteria for causal inference from time-series, " in Directed Information Measures in Neuroscience, Understanding Complex Systems, eds M. Wibral, R. Vicente, and J. T. Lizier (Berlin; Heidelberg: Springer-Verlag), 195-219. doi: 10.1007/978-3-642-54474-3_8
-
(2014)
Directed Information Measures in Neuroscience
, pp. 195-219
-
-
Chicharro, D.1
-
7
-
-
84899861946
-
A causal perspective on the analysis of signal and noise correlations and their role in population coding
-
doi: 10.1162/NECO_a_00588
-
Chicharro, D. (2014b). A causal perspective on the analysis of signal and noise correlations and their role in population coding. Neural Comput. 26, 999-1054. doi: 10.1162/NECO_a_00588
-
(2014)
Neural Comput.
, vol.26
, pp. 999-1054
-
-
Chicharro, D.1
-
8
-
-
84858425279
-
When two become one: The limits of causality analysis of brain dynamics
-
doi: 10.1371/journal.pone.0032466
-
Chicharro, D., and Ledberg, A. (2012a). When two become one: the limits of causality analysis of brain dynamics. PLoS ONE 7:e32466. doi: 10.1371/journal.pone.0032466
-
(2012)
PLoS ONE
, vol.7
-
-
Chicharro, D.1
Ledberg, A.2
-
9
-
-
84867441819
-
Framework to study dynamic dependencies in networks of interacting processes
-
doi: 10.1103/PhysRevE.86.041901
-
Chicharro, D., and Ledberg, A. (2012b). Framework to study dynamic dependencies in networks of interacting processes. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 86:041901. doi: 10.1103/PhysRevE.86.041901
-
(2012)
Phys. Rev. E Stat. Nonlin. Soft Matter Phys.
, vol.86
, pp. 041901
-
-
Chicharro, D.1
Ledberg, A.2
-
11
-
-
3843140273
-
Causality and graphical models for time series
-
in, eds P. Green, N. Hjort, and S. Richardson (Oxford: University Press)
-
Dahlhaus, R., and Eichler, M. (2003). "Causality and graphical models for time series, " in Highly Structured Stochastic Systems, eds P. Green, N. Hjort, and S. Richardson (Oxford: University Press), 115-137.
-
(2003)
Highly Structured Stochastic Systems
, pp. 115-137
-
-
Dahlhaus, R.1
Eichler, M.2
-
12
-
-
77954383549
-
Effect of hemodynamic variability on Granger causality analysis of fMRI
-
doi: 10.1016/j.neuroimage.2009.11.060
-
Deshpande, G., Sathian, K., and Hu, X. P. (2010). Effect of hemodynamic variability on Granger causality analysis of fMRI. Neuroimage 52, 884-896. doi: 10.1016/j.neuroimage.2009.11.060
-
(2010)
Neuroimage
, vol.52
, pp. 884-896
-
-
Deshpande, G.1
Sathian, K.2
Hu, X.P.3
-
13
-
-
25444446654
-
A graphical approach for evaluating effective connectivity in neural systems
-
doi: 10.1098/rstb.2005.1641
-
Eichler, M. (2005). A graphical approach for evaluating effective connectivity in neural systems. Philos. Trans. R. Soc. B Biol. Sci. 360, 953-967. doi: 10.1098/rstb.2005.1641
-
(2005)
Philos. Trans. R. Soc. B Biol. Sci.
, vol.360
, pp. 953-967
-
-
Eichler, M.1
-
14
-
-
33847242530
-
Granger causality and path diagrams for multivariate time series
-
doi: 10.1016/j.jeconom.2005.06.032
-
Eichler, M. (2007). Granger causality and path diagrams for multivariate time series. J. Econom. 137, 334-353. doi: 10.1016/j.jeconom.2005.06.032
-
(2007)
J. Econom.
, vol.137
, pp. 334-353
-
-
Eichler, M.1
-
15
-
-
77951094136
-
Causal inference from multivariate time series: What can be learned from Granger causality
-
in, eds C. Glymour, W. Wang, and D. Westerstahl (London: College Publications)
-
Eichler, M. (2009). "Causal inference from multivariate time series: what can be learned from Granger causality, " in Logic, Methodology and Philosophy of Science. Proceedings of the 13th International Congress, eds C. Glymour, W. Wang, and D. Westerstahl (London: College Publications).
-
(2009)
Logic, Methodology and Philosophy of Science. Proceedings of the 13th International Congress
-
-
Eichler, M.1
-
16
-
-
84886032286
-
Modeling and analysis of local field potentials for studying the function of cortical circuits
-
doi: 10.1038/nrn3599
-
Einevoll, G. T., Kayser, C., Logothetis, N., and Panzeri, S. (2013). Modeling and analysis of local field potentials for studying the function of cortical circuits. Nat. Rev. Neurosci. 14, 770-785. doi: 10.1038/nrn3599
-
(2013)
Nat. Rev. Neurosci.
, vol.14
, pp. 770-785
-
-
Einevoll, G.T.1
Kayser, C.2
Logothetis, N.3
Panzeri, S.4
-
17
-
-
79961039100
-
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique
-
doi: 10.1103/PhysRevE.83.051112
-
Faes, L., Nollo, G., and Porta, A. (2011). Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 83:051112. doi: 10.1103/PhysRevE.83.051112
-
(2011)
Phys. Rev. E Stat. Nonlin. Soft Matter Phys.
, vol.83
, pp. 051112
-
-
Faes, L.1
Nollo, G.2
Porta, A.3
-
18
-
-
81355137473
-
Functional and effective connectivity: A review
-
doi: 10.1089/brain.2011.0008
-
Friston, K. J. (2011). Functional and effective connectivity: a review. Brain Connect. 1, 13-36. doi: 10.1089/brain.2011.0008
-
(2011)
Brain Connect.
, vol.1
, pp. 13-36
-
-
Friston, K.J.1
-
19
-
-
0041924877
-
Dynamic causal modelling
-
doi: 10.1016/S1053-8119(03)00202-7
-
Friston, K. J., Harrison, L., and Penny, W. (2003). Dynamic causal modelling. Neuroimage 19, 1273-1302. doi: 10.1016/S1053-8119(03)00202-7
-
(2003)
Neuroimage
, vol.19
, pp. 1273-1302
-
-
Friston, K.J.1
Harrison, L.2
Penny, W.3
-
20
-
-
79955473472
-
Network discovery with DCM
-
doi: 10.1016/j.neuroimage.2010.12.039
-
Friston, K. J., Li, B., Daunizeau, J., and Stephan, K. E. (2011). Network discovery with DCM. Neuroimage 56, 1202-1221. doi: 10.1016/j.neuroimage.2010.12.039
-
(2011)
Neuroimage
, vol.56
, pp. 1202-1221
-
-
Friston, K.J.1
Li, B.2
Daunizeau, J.3
Stephan, K.E.4
-
21
-
-
84875866518
-
Analysing connectivity with Granger causality and dynamic causal modelling
-
doi: 10.1016/j.conb.2012.11.010
-
Friston, K. J., Moran, R., and Seth, A. K. (2013). Analysing connectivity with Granger causality and dynamic causal modelling. Curr. Opin. Neurobiol. 23, 172-178. doi: 10.1016/j.conb.2012.11.010
-
(2013)
Curr. Opin. Neurobiol.
, vol.23
, pp. 172-178
-
-
Friston, K.J.1
Moran, R.2
Seth, A.K.3
-
22
-
-
0001805137
-
Economic processes involving feedback
-
doi: 10.1016/S0019-9958(63)90092-5
-
Granger, C. W. J. (1963). Economic processes involving feedback. Inf. Control 6, 28-48. doi: 10.1016/S0019-9958(63)90092-5
-
(1963)
Inf. Control
, vol.6
, pp. 28-48
-
-
Granger, C.W.J.1
-
23
-
-
0011046885
-
Testing for causality-a personal viewpoint
-
doi: 10.1016/0165-1889(80)90069-X
-
Granger, C. W. J. (1980). Testing for causality-a personal viewpoint. J. Econ. Dyn. Control 2, 329-352. doi: 10.1016/0165-1889(80)90069-X
-
(1980)
J. Econ. Dyn. Control
, vol.2
, pp. 329-352
-
-
Granger, C.W.J.1
-
24
-
-
0038275115
-
Autoregressive modeling and causal ordering of economic variables
-
doi: 10.1016/0165-1889(82)90015-X
-
Hsiao, C. (1982). Autoregressive modeling and causal ordering of economic variables. J. Econ. Dyn. Control 4, 243-259. doi: 10.1016/0165-1889(82)90015-X
-
(1982)
J. Econ. Dyn. Control
, vol.4
, pp. 243-259
-
-
Hsiao, C.1
-
25
-
-
0036610922
-
Information transfer in continuous processes
-
doi: 10.1016/S0167-2789(02)
-
Kaiser, A., and Schreiber, T. (2002). Information transfer in continuous processes. Physica D 166, 43-62. doi: 10.1016/S0167-2789(02)
-
(2002)
Physica D
, vol.166
, pp. 43-62
-
-
Kaiser, A.1
Schreiber, T.2
-
28
-
-
77949484837
-
Differentiating information transfer and causal effect
-
doi: 10.1140/epjb/e2010-00034-5
-
Lizier, J. T., and Prokopenko, M. (2010). Differentiating information transfer and causal effect. Eur. Phys. J. B 73, 605-615. doi: 10.1140/epjb/e2010-00034-5
-
(2010)
Eur. Phys. J. B
, vol.73
, pp. 605-615
-
-
Lizier, J.T.1
Prokopenko, M.2
-
29
-
-
43049104255
-
What we can do and what we cannot do with fMRI
-
doi: 10.1038/nature06976
-
Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature 453, 869-878. doi: 10.1038/nature06976
-
(2008)
Nature
, vol.453
, pp. 869-878
-
-
Logothetis, N.K.1
-
31
-
-
85061302715
-
Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness
-
doi: 10.3389/fninf.2013.00024
-
Mäki-Marttunen, V., Diez, I., Cortes, J. M., Chialvo, D. R., and Villarreal, M. (2013). Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness. Front. Neuroinform. 7:24. doi: 10.3389/fninf.2013.00024
-
(2013)
Front. Neuroinform.
, vol.7
, pp. 24
-
-
Mäki-Marttunen, V.1
Diez, I.2
Cortes, J.M.3
Chialvo, D.R.4
Villarreal, M.5
-
32
-
-
84862276538
-
Causal information approach to partial conditioning in multivariate data sets
-
doi: 10.1155/2012/303601
-
Marinazzo, D., Pellicoro, M., and Stramaglia, S. (2012). Causal information approach to partial conditioning in multivariate data sets. Comput. Math. Methods Med. 2012:303601. doi: 10.1155/2012/303601
-
(2012)
Comput. Math. Methods Med.
, vol.2012
, pp. 303601
-
-
Marinazzo, D.1
Pellicoro, M.2
Stramaglia, S.3
-
33
-
-
0015737911
-
The bidirectional communication theory-A generalization of information theory
-
doi: 10.1109/TCOM.1973.1091610
-
Marko, H. (1973). The bidirectional communication theory-A generalization of information theory. IEEE Trans. Commun. 21, 1345-1351. doi: 10.1109/TCOM.1973.1091610
-
(1973)
IEEE Trans. Commun.
, vol.21
, pp. 1345-1351
-
-
Marko, H.1
-
34
-
-
84873669028
-
Neural variability, or lack thereof
-
doi: 10.3389/fncom.2013.00007
-
Masquelier, T. (2013). Neural variability, or lack thereof. Front. Comput. Neurosci. 7:7. doi: 10.3389/fncom.2013.00007
-
(2013)
Front. Comput. Neurosci.
, vol.7
, pp. 7
-
-
Masquelier, T.1
-
35
-
-
34047092170
-
Mitigating the effects of measurement noise on Granger causality
-
doi: 10.1103/PHYSREVE.75.031123
-
Nalatore, H., Ding, M. Z., and Rangarajan, G. (2007). Mitigating the effects of measurement noise on Granger causality. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 75:031123. doi: 10.1103/PHYSREVE.75.031123
-
(2007)
Phys. Rev. E Stat. Nonlin. Soft Matter Phys.
, vol.75
, pp. 031123
-
-
Nalatore, H.1
Ding, M.Z.2
Rangarajan, G.3
-
36
-
-
1542316119
-
Functional imaging and neural information coding
-
doi: 10.1016/j.neuroimage.2003.10.043
-
Nevado, A., Young, M. P., and Panzeri, S. (2004). Functional imaging and neural information coding. Neuroimage 21, 1083-1095. doi: 10.1016/j.neuroimage.2003.10.043
-
(2004)
Neuroimage
, vol.21
, pp. 1083-1095
-
-
Nevado, A.1
Young, M.P.2
Panzeri, S.3
-
37
-
-
46149134436
-
Fusion, propagation, and structuring in belief networks
-
doi: 10.1016/0004-3702(86)90072-X
-
Pearl, J. (1986). Fusion, propagation, and structuring in belief networks. Artif. Intell. 29, 241-288. doi: 10.1016/0004-3702(86)90072-X
-
(1986)
Artif. Intell.
, vol.29
, pp. 241-288
-
-
Pearl, J.1
-
40
-
-
84880547039
-
The impact of latent confounders in directed network analysis in neuroscience
-
doi: 10.1098/rsta.2011.0612
-
Ramb, R., Eichler, M., Ing, A., Thiel, M., Weiller, C., Grebogi, C., et al. (2013). The impact of latent confounders in directed network analysis in neuroscience. Philos. Trans. R. Soc. A 371:20110612. doi: 10.1098/rsta.2011.0612
-
(2013)
Philos. Trans. R. Soc. A
, vol.371
, pp. 20110612
-
-
Ramb, R.1
Eichler, M.2
Ing, A.3
Thiel, M.4
Weiller, C.5
Grebogi, C.6
-
41
-
-
0023384307
-
Measures of Mutual and Causal Dependence between two Time-Series
-
doi: 10.1109/TIT.1987.1057325
-
Rissanen, J., and Wax, M. (1987). Measures of Mutual and Causal Dependence between two Time-Series. IEEE Trans. Inform. Theory 33, 598-601. doi: 10.1109/TIT.1987.1057325
-
(1987)
IEEE Trans. Inform. Theory
, vol.33
, pp. 598-601
-
-
Rissanen, J.1
Wax, M.2
-
42
-
-
14244259417
-
Mapping directed influence over the brain using Granger causality and fMRI
-
doi: 10.1016/j.neuroimage.2004.11.017
-
Roebroeck, A., Formisano, E., and Goebel, R. (2005). Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 25, 230-242. doi: 10.1016/j.neuroimage.2004.11.017
-
(2005)
Neuroimage
, vol.25
, pp. 230-242
-
-
Roebroeck, A.1
Formisano, E.2
Goebel, R.3
-
43
-
-
84862660973
-
Escaping the curse of dimensionality in estimating multivariate transfer entropy
-
doi: 10.1103/PhysRevLett.108.258701
-
Runge, J., Heitzig, J., Petoukhov, V., and Kurths, J. (2012). Escaping the curse of dimensionality in estimating multivariate transfer entropy. Phys. Rev. Lett. 108:258701. doi: 10.1103/PhysRevLett.108.258701
-
(2012)
Phys. Rev. Lett.
, vol.108
, pp. 258701
-
-
Runge, J.1
Heitzig, J.2
Petoukhov, V.3
Kurths, J.4
-
44
-
-
0033532036
-
Neuronal population activity and functional imaging
-
doi: 10.1098/rspb.1999.0718
-
Scannell, J. W., and Young, M. P. (1999). Neuronal population activity and functional imaging. Philos. Trans. R. Soc. B Biol. Sci. 266, 875-881. doi: 10.1098/rspb.1999.0718
-
(1999)
Philos. Trans. R. Soc. B Biol. Sci.
, vol.266
, pp. 875-881
-
-
Scannell, J.W.1
Young, M.P.2
-
45
-
-
12944275674
-
Measuring information transfer
-
doi: 10.1103/PhysRevLett.85.461
-
Schreiber, T. (2000). Measuring information transfer. Phys. Rev. Lett. 85, 461-464. doi: 10.1103/PhysRevLett.85.461
-
(2000)
Phys. Rev. Lett.
, vol.85
, pp. 461-464
-
-
Schreiber, T.1
-
46
-
-
84870266555
-
Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling
-
doi: 10.1016/j.neuroimage.2012.09.049
-
Seth, A. K., Chorley, P., and Barnett, L. C. (2013). Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling. Neuroimage 65, 540-555. doi: 10.1016/j.neuroimage.2012.09.049
-
(2013)
Neuroimage
, vol.65
, pp. 540-555
-
-
Seth, A.K.1
Chorley, P.2
Barnett, L.C.3
-
47
-
-
84877758203
-
Spurious causalities with transfer entropy
-
doi: 10.1103/PhysRevE.87.042917
-
Smirnov, D. A. (2013). Spurious causalities with transfer entropy. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 87:042917. doi: 10.1103/PhysRevE.87.042917
-
(2013)
Phys. Rev. E Stat. Nonlin. Soft Matter Phys.
, vol.87
, pp. 042917
-
-
Smirnov, D.A.1
-
48
-
-
0003614273
-
-
Cambridge, MA: MIT Press
-
Spirtes, P., Glymour, C. N., and Scheines, R. (2000). Causation, Prediction, and Search. Cambridge, MA: MIT Press.
-
(2000)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.N.2
Scheines, R.3
-
49
-
-
80051795744
-
Effective connectivity: Influence, causality and biophysical modeling
-
doi: 10.1016/j.neuroimage.2011.03.058
-
Valdes-Sosa, P. A., Roebroeck, A., Daunizeau, J., and Friston, K. (2011). Effective connectivity: influence, causality and biophysical modeling. Neuroimage 58, 339-361. doi: 10.1016/j.neuroimage.2011.03.058
-
(2011)
Neuroimage
, vol.58
, pp. 339-361
-
-
Valdes-Sosa, P.A.1
Roebroeck, A.2
Daunizeau, J.3
Friston, K.4
-
51
-
-
0002095306
-
Equivalence and synthesis of causal models
-
in, (Cambridge, MA)
-
Verma, T., and Pearl, J. (1990). "Equivalence and synthesis of causal models, " in Proceedings of the Sixth Conference on Uncertainty in Artifial Intelligence (Cambridge, MA), 220-227.
-
(1990)
Proceedings of the Sixth Conference on Uncertainty in Artifial Intelligence
, pp. 220-227
-
-
Verma, T.1
Pearl, J.2
-
52
-
-
0001775899
-
An algorithm for deciding if a set of observed independencies has a causal explanation
-
in, (Standford, CA)
-
Verma, T., and Pearl, J. (1992). "An algorithm for deciding if a set of observed independencies has a causal explanation, " in Proceedings of the Eighth Conference on Uncertainty in Artifial Intelligence (Standford, CA), 323-330.
-
(1992)
Proceedings of the Eighth Conference on Uncertainty in Artifial Intelligence
, pp. 323-330
-
-
Verma, T.1
Pearl, J.2
-
53
-
-
79952282160
-
Transfer entropy-a model-free measure of effective connectivity for the neurosciences
-
doi: 10.1007/s10827-010-0262-3
-
Vicente, R., Wibral, M., Lindner, M., and Pipa, G. (2011). Transfer entropy-a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. 30, 45-67. doi: 10.1007/s10827-010-0262-3
-
(2011)
J. Comput. Neurosci.
, vol.30
, pp. 45-67
-
-
Vicente, R.1
Wibral, M.2
Lindner, M.3
Pipa, G.4
-
54
-
-
44449155174
-
Estimating Granger causality after stimulus onset: A cautionary note
-
doi: 10.1016/j.neuroimage.2008.03.025
-
Wang, X., Chen, Y. H., and Ding, M. Z. (2008). Estimating Granger causality after stimulus onset: a cautionary note. Neuroimage 41, 767-776. doi: 10.1016/j.neuroimage.2008.03.025
-
(2008)
Neuroimage
, vol.41
, pp. 767-776
-
-
Wang, X.1
Chen, Y.H.2
Ding, M.Z.3
-
55
-
-
84874522295
-
Measuring information-transfer delays
-
doi: 10.1371/journal.pone.0055809
-
Wibral, M., Pampu, N., Priesemann, V., Siebenhuhner, F., Seiwert, H., Lindner, M., et al. (2013). Measuring information-transfer delays. PLoS ONE 8:e55809. doi: 10.1371/journal.pone.0055809
-
(2013)
PLoS ONE
, vol.8
-
-
Wibral, M.1
Pampu, N.2
Priesemann, V.3
Siebenhuhner, F.4
Seiwert, H.5
Lindner, M.6
-
56
-
-
70349428511
-
Settable systems: An extension of Pearl's causal model with optimization, equilibrium, and learning
-
doi: 10.1145/1577069.1755844
-
White, H., and Chalak, K. (2009). Settable systems: an extension of Pearl's causal model with optimization, equilibrium, and learning. J. Mach. Learn. Res. 10, 1759-1799. doi: 10.1145/1577069.1755844
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1759-1799
-
-
White, H.1
Chalak, K.2
-
57
-
-
77951217938
-
Granger causality and dynamic structural systems
-
doi: 10.1093/jjfinec/nbq006
-
White, H., and Lu, X. (2010). Granger causality and dynamic structural systems. J. Financ. Econom. 8, 193-243. doi: 10.1093/jjfinec/nbq006
-
(2010)
J. Financ. Econom.
, vol.8
, pp. 193-243
-
-
White, H.1
Lu, X.2
-
58
-
-
25844517315
-
Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
-
doi: 10.1016/j.sigpro.2005.07.011
-
Winterhalder, M., Schelter, B., Hesse, W., Schwab, K., Leistritz, L., Klan, D., et al. (2005). Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems. Signal Process. 85, 2137-2160. doi: 10.1016/j.sigpro.2005.07.011
-
(2005)
Signal Process.
, vol.85
, pp. 2137-2160
-
-
Winterhalder, M.1
Schelter, B.2
Hesse, W.3
Schwab, K.4
Leistritz, L.5
Klan, D.6
-
59
-
-
84982214308
-
Recovering directed networks in neuroimaging datasets using partially conditioned Granger causality
-
doi: 10.1089/brain.2013.0142
-
Wu, G., Liao, W., Chen, H., Stramaglia, S., and Marinazzo, D. (2013). Recovering directed networks in neuroimaging datasets using partially conditioned Granger causality. Brain Connect. 3, 294-301. doi: 10.1089/brain.2013.0142
-
(2013)
Brain Connect.
, vol.3
, pp. 294-301
-
-
Wu, G.1
Liao, W.2
Chen, H.3
Stramaglia, S.4
Marinazzo, D.5
|