| Monitoring spike train synchrony T Kreuz, D Chicharro, C Houghton, RG Andrzejak, F Mormann Journal of neurophysiology 109 (5), 1457-1472, 2013 | 180 | 2013 |
| Reliable detection of directional couplings using rank statistics D Chicharro, RG Andrzejak Physical Review E 80 (2), 026217, 2009 | 157 | 2009 |
| Structure and flexibility in cortical representations of odour space SL Pashkovski, G Iurilli, D Brann, D Chicharro, K Drummey, K Franks, ... Nature 583 (7815), 253-258, 2020 | 156 | 2020 |
| Seizure prediction: Any better than chance? RG Andrzejak, D Chicharro, CE Elger, F Mormann Clinical Neurophysiology 120 (8), 1465-1478, 2009 | 129 | 2009 |
| On the spectral formulation of Granger causality D Chicharro Biological cybernetics 105 (5-6), 331-347, 2011 | 114 | 2011 |
| Time-resolved and time-scale adaptive measures of spike train synchrony T Kreuz, D Chicharro, M Greschner, RG Andrzejak Journal of neuroscience methods 195 (1), 92-106, 2011 | 114 | 2011 |
| Measuring multiple spike train synchrony T Kreuz, D Chicharro, RG Andrzejak, JS Haas, HDI Abarbanel Journal of neuroscience methods 183 (2), 287-299, 2009 | 96 | 2009 |
| Using bivariate signal analysis to characterize the epileptic focus: The benefit of surrogates RG Andrzejak, D Chicharro, K Lehnertz, F Mormann Physical Review E 83 (4), 046203, 2011 | 78 | 2011 |
| When two become one: the limits of causality analysis of brain dynamics D Chicharro, A Ledberg PLoS One 7 (3), e32466, 2012 | 71 | 2012 |
| Attention Induced Gain Stabilization in Broad and Narrow-Spiking Cells in the Frontal Eye-Field of Macaque Monkeys A Thiele, C Brandt, M Dasilva, S Gotthardt, D Chicharro, S Panzeri, ... The Journal of Neuroscience 36 (29), 7601-7612, 2016 | 55 | 2016 |
| Framework to study dynamic dependencies in networks of interacting processes D Chicharro, A Ledberg Physical Review E 86 (4), 041901, 2012 | 55 | 2012 |
| Characterization of Cortical Networks and Corticocortical Functional Connectivity Mediating Arbitrary Visuomotor Mapping A Brovelli, D Chicharro, JM Badier, H Wang, V Jirsa The Journal of Neuroscience 35 (37), 12643-12658, 2015 | 53 | 2015 |
| Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss D Chicharro, S Panzeri Entropy 19 (2), 71, 2017 | 49 | 2017 |
| Algorithms of causal inference for the analysis of effective connectivity among brain regions D Chicharro, S Panzeri Name: Frontiers in Neuroinformatics 8, 64, 2014 | 42 | 2014 |
| What can spike train distances tell us about the neural code? D Chicharro, T Kreuz, RG Andrzejak Journal of neuroscience methods 199 (1), 146-165, 2011 | 42 | 2011 |
| Invariant components of synergy, redundancy, and unique information among three variables G Pica, E Piasini, D Chicharro, S Panzeri Entropy 19 (9), 451, 2017 | 35 | 2017 |
| Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4 M Sanayei, X Chen, D Chicharro, C Distler, S Panzeri, A Thiele Nature Communications 9 (1), 4238, 2018 | 27 | 2018 |
| Quantifying multivariate redundancy with maximum entropy decompositions of mutual information D Chicharro arXiv preprint arXiv:1708.03845, 2017 | 14 | 2017 |
| An information-theoretic quantification of the content of communication between brain regions M Celotto, J Bím, A Tlaie, V De Feo, A Toso, S Lemke, D Chicharro, H Nili, ... Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding D Chicharro Neural computation 26 (6), 999-1054, 2014 | 13 | 2014 |
Ralph Gregor AndrzejakDepartment of Engineering, Universitat Pompeu Fabra, BarcelonaAdresse e-mail validée de upf.edu