Yves Burnod

Affiliations: 
Institut des Systemes Complexes, Paris, Île-de-France, France 
Area:
Computational neuroscience, Neuroimaging
Google:
"Yves Burnod"
Mean distance: 14.53 (cluster 29)
 
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Publications

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Cameron Craddock R, S Margulies D, Bellec P, et al. (2016) Brainhack: a collaborative workshop for the open neuroscience community. Gigascience. 5: 16
Mesmoudi S, Rodic M, Cioli C, et al. (2015) LinkRbrain: multi-scale data integrator of the brain. Journal of Neuroscience Methods. 241: 44-52
Cioli C, Abdi H, Beaton D, et al. (2014) Differences in human cortical gene expression match the temporal properties of large-scale functional networks. Plos One. 9: e115913
Lungu O, Monchi O, Albouy G, et al. (2014) Striatal and hippocampal involvement in motor sequence chunking depends on the learning strategy. Plos One. 9: e103885
Mesmoudi S, Perlbarg V, Rudrauf D, et al. (2013) Resting state networks' corticotopy: the dual intertwined rings architecture. Plos One. 8: e67444
Roschin VY, Frolov AA, Burnod Y, et al. (2011) A neural network model for the acquisition of a spatial body scheme through sensorimotor interaction. Neural Computation. 23: 1821-34
Venkatakrishnan A, Banquet JP, Burnod Y, et al. (2011) Parkinson's disease differentially affects adaptation to gradual as compared to sudden visuomotor distortions. Human Movement Science. 30: 760-9
Querleux B, Dauchot K, Jourdain R, et al. (2008) Neural basis of sensitive skin: an fMRI study. Skin Research and Technology : Official Journal of International Society For Bioengineering and the Skin (Isbs) [and] International Society For Digital Imaging of Skin (Isdis) [and] International Society For Skin Imaging (Issi). 14: 454-61
Martin R, Houssemand C, Schiltz C, et al. (2008) Is there continuity between categorical and coordinate spatial relations coding? Evidence from a grid/no-grid working memory paradigm. Neuropsychologia. 46: 576-94
Zollo L, Eskiizmirliler S, Teti G, et al. (2008) An anthropomorphic robotic platform for progressive and adaptive sensorimotor learning Advanced Robotics. 22: 91-118
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