| The NIRS Analysis Package: Noise Reduction and Statistical Inference T Fekete, D Rubin, JM Carlson, LR Mujica-Parodi PloS one 6 (9), e24322, 2011 | 143 | 2011 |
| EEG-based Prediction of Cognitive Load in Intelligence Tests N Friedman, T Fekete, YK Gal, O Shriki Frontiers in Human Neuroscience 13 (191), 2019 | 102 | 2019 |
| Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: A NIRS study T Fekete, FDCC Beacher, J Cha, D Rubin, LR Mujica-Parodi NeuroImage 85, 345-353, 2014 | 102 | 2014 |
| Neural correlates of aggression in medication-naive children with ADHD: multivariate analysis of morphometry and tractography J Cha, T Fekete, F Siciliano, D Biezonski, L Greenhill, SR Pliszka, ... Neuropsychopharmacology 40 (7), 1717-1725, 2015 | 93 | 2015 |
| Towards a computational theory of experience T Fekete, S Edelman Consciousness and cognition 20 (3), 807-827, 2011 | 86 | 2011 |
| Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis T Fekete, N Zach, LR Mujica-Parodi, MR Turner PloS one 8 (12), e85190, 2013 | 60 | 2013 |
| Optimizing complexity measures for FMRI data: algorithm, artifact, and sensitivity D Rubin, T Fekete, LR Mujica-Parodi PLoS One 8 (5), e63448, 2013 | 49 | 2013 |
| Combining classification with fMRI-derived complex network measures for potential neurodiagnostics T Fekete, M Wilf, D Rubin, S Edelman, R Malach, LR Mujica-Parodi PloS one 8 (5), e62867, 2013 | 49 | 2013 |
| Critical dynamics, anesthesia and information integration: Lessons from multi-scale criticality analysis of voltage imaging data T Fekete, DB Omer, K O'Hashi, A Grinvald, C van Leeuwen, O Shriki NeuroImage 183, 919-933, 2018 | 39 | 2018 |
| In the interest of saving time: a critique of discrete perception T Fekete, S Van de Cruys, V Ekroll, C van Leeuwen Neuroscience of Consciousness 2018 (1), niy003, 2018 | 36 | 2018 |
| Dynamic patterns of spontaneous ongoing activity in the visual cortex of anesthetized and awake monkeys are different DB Omer, T Fekete, Y Ulchin, R Hildesheim, A Grinvald Cerebral Cortex 29 (3), 1291-1304, 2019 | 34 | 2019 |
| Multi-electrode alpha tACS during varying background tasks fails to modulate subsequent alpha power T Fekete, AR Nikolaev, F De Knijf, A Zharikova, C van Leeuwen Frontiers in Neuroscience 12, 428, 2018 | 32 | 2018 |
| System, subsystem, hive: boundary problems in computational theories of consciousness T Fekete, C Van Leeuwen, S Edelman Frontiers in psychology 7, 1041, 2016 | 31 | 2016 |
| Interhemispheric Synchrony of Spontaneous Cortical States at the Cortical Column Level K O’Hashi*, T Fekete*, T Deneux, R Hildesheim, C van Leeuwen, ... Cerebral Cortex, 1-14, 2017 | 26 | 2017 |
| Arousal increases the representational capacity of cortical tissue T Fekete, I Pitowsky, A Grinvald, DB Omer Journal of computational neuroscience 27, 211-227, 2009 | 26 | 2009 |
| A stand-alone method for anatomical localization of NIRS measurements T Fekete, D Rubin, JM Carlson, LR Mujica-Parodi Neuroimage 56 (4), 2080-2088, 2011 | 22 | 2011 |
| Representational systems T Fekete Minds and Machines 20, 69-101, 2010 | 20 | 2010 |
| Dynamical Emergence Theory (DET): a computational account of phenomenal consciousness R Moyal, T Fekete, S Edelman Minds and Machines 30 (1), 1-21, 2020 | 19 | 2020 |
| Being in time S Edelman, T Fekete Being in Time: Dynamical Models of Phenomenal Experience, 81-94, 2012 | 17 | 2012 |
| Removal of spatial biological artifacts in functional maps by local similarity minimization T Fekete, DB Omer, S Naaman, A Grinvald Journal of neuroscience methods 178 (1), 31-39, 2009 | 17 | 2009 |
