| Independent component analysis for brain fMRI does not select for independence I Daubechies, E Roussos, S Takerkart, M Benharrosh, C Golden, ... Proceedings of the National Academy of Sciences 106 (26), 10415-10422, 2009 | 277 | 2009 |
| Multivoxel pattern analysis for FMRI data: a review A Mahmoudi, S Takerkart, F Regragui, D Boussaoud, A Brovelli Computational and mathematical methods in medicine 2012 (1), 961257, 2012 | 237 | 2012 |
| Context-related frequency modulations of macaque motor cortical LFP beta oscillations BE Kilavik, A Ponce-Alvarez, R Trachel, J Confais, S Takerkart, A Riehle Cerebral cortex 22 (9), 2148-2159, 2012 | 99 | 2012 |
| Atypical sulcal anatomy in young children with autism spectrum disorder G Auzias, M Viellard, S Takerkart, N Villeneuve, F Poinso, D Da Fonséca, ... NeuroImage: Clinical 4, 593-603, 2014 | 74 | 2014 |
| Faster sound stream segmentation in musicians than in nonmusicians C François, F Jaillet, S Takerkart, D Schön PloS one 9 (7), e101340, 2014 | 63 | 2014 |
| Cross‐classification of musical and vocal emotions in the auditory cortex S Paquette, S Takerkart, S Saget, I Peretz, P Belin Annals of the New York Academy of Sciences 1423 (1), 329-337, 2018 | 56 | 2018 |
| Functional connectivity within the voice perception network and its behavioural relevance V Aglieri, T Chaminade, S Takerkart, P Belin Neuroimage 183, 356-365, 2018 | 46 | 2018 |
| Linear model decomposition for voltage-sensitive dye imaging signals: application in awake behaving monkey A Reynaud, S Takerkart, GS Masson, F Chavane Neuroimage 54 (2), 1196-1210, 2011 | 41 | 2011 |
| Enhanced neonatal brain responses to sung streams predict vocabulary outcomes by age 18 months C François, M Teixidó, S Takerkart, T Agut, L Bosch, A Rodriguez-Fornells Scientific reports 7 (1), 12451, 2017 | 40 | 2017 |
| Anatomo-functional correspondence in the superior temporal sulcus C Bodin, S Takerkart, P Belin, O Coulon Brain Structure and Function 223, 221-232, 2018 | 39 | 2018 |
| Social and asocial prefrontal cortex neurons: a new look at social facilitation and the social brain M Demolliens, F Isbaine, S Takerkart, P Huguet, D Boussaoud Social cognitive and affective neuroscience 12 (8), 1241-1248, 2017 | 38 | 2017 |
| Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 37 | 2021 |
| Graph-based inter-subject pattern analysis of fMRI data S Takerkart, G Auzias, B Thirion, L Ralaivola PloS one 9 (8), e104586, 2014 | 37 | 2014 |
| Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA Q Wang, B Cagna, T Chaminade, S Takerkart NeuroImage 204, 116205, 2020 | 30 | 2020 |
| Improving voltage-sensitive dye imaging: with a little help from computational approaches S Chemla, L Muller, A Reynaud, S Takerkart, A Destexhe, F Chavane Neurophotonics 4 (3), 031215-031215, 2017 | 29 | 2017 |
| Probing the functional impact of sub-retinal prosthesis S Roux, F Matonti, F Dupont, L Hoffart, S Takerkart, S Picaud, P Pham, ... Elife 5, e12687, 2016 | 22 | 2016 |
| I learned from what you did: retrieving visuomotor associations learned by observation E Monfardini, A Brovelli, D Boussaoud, S Takerkart, B Wicker Neuroimage 42 (3), 1207-1213, 2008 | 22 | 2008 |
| Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits S Takerkart, G Auzias, L Brun, O Coulon Medical image analysis 35, 32-45, 2017 | 20 | 2017 |
| Microscopy-BIDS: an extension to the brain imaging data structure for microscopy data MH Bourget, L Kamentsky, SS Ghosh, G Mazzamuto, A Lazari, ... Frontiers in Neuroscience 16, 871228, 2022 | 18 | 2022 |
| FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance V Aglieri, B Cagna, L Velly, S Takerkart, P Belin Scientific Reports 11 (1), 489, 2021 | 18 | 2021 |
guillaume auziasCNRSVerified email at univ-amu.fr
