Leibovich N
Sci Rep. 2025; 15(1):3004.
PMID: 39849082
PMC: 11758029.
DOI: 10.1038/s41598-025-86332-0.
Malizia F, Corso A, Gambuzza L, Russo G, Latora V, Frasca M
Nat Commun. 2024; 15(1):5184.
PMID: 38890277
PMC: 11189584.
DOI: 10.1038/s41467-024-49278-x.
Chen D, Li J, Zeng W, He J
Cogn Neurodyn. 2023; 17(1):203-220.
PMID: 36704630
PMC: 9871131.
DOI: 10.1007/s11571-022-09812-3.
Yang Y, Yan C
Cogn Neurodyn. 2022; 16(4):961-972.
PMID: 35847530
PMC: 9279546.
DOI: 10.1007/s11571-021-09750-6.
Wang H, Ma C, Chen H, Lai Y, Zhang H
Nat Commun. 2022; 13(1):3043.
PMID: 35650211
PMC: 9160016.
DOI: 10.1038/s41467-022-30706-9.
Model-free inference of direct network interactions from nonlinear collective dynamics.
Casadiego J, Nitzan M, Hallerberg S, Timme M
Nat Commun. 2017; 8(1):2192.
PMID: 29259167
PMC: 5736722.
DOI: 10.1038/s41467-017-02288-4.
Transition to reconstructibility in weakly coupled networks.
Lunsmann B, Kirst C, Timme M
PLoS One. 2017; 12(10):e0186624.
PMID: 29053744
PMC: 5650155.
DOI: 10.1371/journal.pone.0186624.
Reconstruction of noise-driven nonlinear networks from node outputs by using high-order correlations.
Chen Y, Zhang Z, Chen T, Wang S, Hu G
Sci Rep. 2017; 7:44639.
PMID: 28322230
PMC: 5359559.
DOI: 10.1038/srep44639.
Revealing physical interaction networks from statistics of collective dynamics.
Nitzan M, Casadiego J, Timme M
Sci Adv. 2017; 3(2):e1600396.
PMID: 28246630
PMC: 5302872.
DOI: 10.1126/sciadv.1600396.
Fundamental limitations of network reconstruction from temporal data.
Angulo M, Moreno J, Lippner G, Barabasi A, Liu Y
J R Soc Interface. 2017; 14(127).
PMID: 28148769
PMC: 5332581.
DOI: 10.1098/rsif.2016.0966.
Interaction Control to Synchronize Non-synchronizable Networks.
Schroder M, Chakraborty S, Witthaut D, Nagler J, Timme M
Sci Rep. 2016; 6:37142.
PMID: 27853266
PMC: 5112558.
DOI: 10.1038/srep37142.
On the Inference of Functional Circadian Networks Using Granger Causality.
Pourzanjani A, Herzog E, Petzold L
PLoS One. 2015; 10(9):e0137540.
PMID: 26413748
PMC: 4586144.
DOI: 10.1371/journal.pone.0137540.
Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics.
Zhou D, Zhang Y, Xiao Y, Cai D
Front Comput Neurosci. 2014; 8:75.
PMID: 25126067
PMC: 4115622.
DOI: 10.3389/fncom.2014.00075.
Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems.
Zhou D, Xiao Y, Zhang Y, Xu Z, Cai D
PLoS One. 2014; 9(2):e87636.
PMID: 24586285
PMC: 3929548.
DOI: 10.1371/journal.pone.0087636.
Information flow in networks and the law of diminishing marginal returns: evidence from modeling and human electroencephalographic recordings.
Marinazzo D, Wu G, Pellicoro M, Angelini L, Stramaglia S
PLoS One. 2012; 7(9):e45026.
PMID: 23028745
PMC: 3445562.
DOI: 10.1371/journal.pone.0045026.
Causal information approach to partial conditioning in multivariate data sets.
Marinazzo D, Pellicoro M, Stramaglia S
Comput Math Methods Med. 2012; 2012:303601.
PMID: 22675400
PMC: 3364562.
DOI: 10.1155/2012/303601.
Characterizing global evolutions of complex systems via intermediate network representations.
Iwayama K, Hirata Y, Takahashi K, Watanabe K, Aihara K, Suzuki H
Sci Rep. 2012; 2:423.
PMID: 22639731
PMC: 3360324.
DOI: 10.1038/srep00423.
Functional connectivity in a rhythmic inhibitory circuit using Granger causality.
Kispersky T, Gutierrez G, Marder E
Neural Syst Circuits. 2012; 1(1):9.
PMID: 22330428
PMC: 3314404.
DOI: 10.1186/2042-1001-1-9.
Inferring network connectivity by delayed feedback control.
Yu D, Parlitz U
PLoS One. 2011; 6(9):e24333.
PMID: 21969856
PMC: 3182170.
DOI: 10.1371/journal.pone.0024333.
Inferring synaptic connectivity from spatio-temporal spike patterns.
Van Bussel F, Kriener B, Timme M
Front Comput Neurosci. 2011; 5:3.
PMID: 21344004
PMC: 3034213.
DOI: 10.3389/fncom.2011.00003.
