Sylvain Takerkart
Sylvain Takerkart
Institut de Neurosciences de la Timone UMR 7289, CNRS, Aix Marseille Université, France
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Zitiert von
Zitiert von
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
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, 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
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
Faster sound stream segmentation in musicians than in nonmusicians
C François, F Jaillet, S Takerkart, D Schön
PloS one 9 (7), e101340, 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
Functional connectivity within the voice perception network and its behavioural relevance
V Aglieri, T Chaminade, S Takerkart, P Belin
Neuroimage 183, 356-365, 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
Anatomo-functional correspondence in the superior temporal sulcus
C Bodin, S Takerkart, P Belin, O Coulon
Brain Structure and Function 223, 221-232, 2018
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
Graph-based inter-subject pattern analysis of fMRI data
S Takerkart, G Auzias, B Thirion, L Ralaivola
PloS one 9 (8), e104586, 2014
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
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
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
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
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
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
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
On the influence of confounding factors in multisite brain morphometry studies of developmental pathologies: application to autism Spectrum disorder
G Auzias, S Takerkart, C Deruelle
IEEE Journal of Biomedical and Health Informatics 20 (3), 810-817, 2015
Graph-based inter-subject classification of local fMRI patterns
S Takerkart, G Auzias, B Thirion, D Schön, L Ralaivola
Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012 …, 2012
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