Research Topics
| Karim JerbiSummaryCountry: France Publications
|
Detail Information
Publications
Coherent neural representation of hand speed in humans revealed by MEG imagingKarim Jerbi
Cognitive Neuroscience and Brain Imaging Laboratory, Centre National de la Recherche Scientifique, UPR 640 LENA, MEG Center, Universite Pierre et Marie Curie Paris 6, Hopital de la Salpetriere, 75013 Paris, France
Proc Natl Acad Sci U S A 104:7676-81. 2007..Our findings are discussed in the context of corticomotor communication, distributed motor encoding, and possible implications for brain-machine interfaces...
A blueprint for real-time functional mapping via human intracranial recordingsJean Philippe Lachaux
INSERM, U821, Lyon, F 69500, France
PLoS ONE 2:e1094. 2007....
BrainTV: a novel approach for online mapping of human brain functionsJean Philippe Lachaux
INSERM, U821, Lyon, F 69500, France
Biol Res 40:401-13. 2007....
Brain responses to success and failure: Direct recordings from human cerebral cortexJulien Jung
Brain Dynamics and Cognition, INSERM U, Lyon, France
Hum Brain Mapp 31:1217-32. 2010..Moreover, we found that the timing and amplitude of those gamma-band responses reveal fine-scale dissociations between the neural dynamics of positive versus negative feedback processing...
Classification methods for ongoing EEG and MEG signalsMichel Besserve
CNRS, UPR 640 LENA, Laboratoire Meurosciencies Cognitives el Imagerie Cérébrale, 75013 Paris Cedex 13, France
Biol Res 40:415-37. 2007..Finally, the promising results reported here (up to 97% classification accuracy on 1-second time windows) reflect the considerable potential of MEG for the continuous classification of mental states...
Multiresolution imaging of MEG cortical sources using an explicit piecewise modelBenoit Cottereau
Cognitive Neuroscience and Brain Imaging Laboratory, CNRS UPR 640 LENA, University Pierre and Marie Curie Paris 6, Hopital de la Salpetriere, Paris, France
Neuroimage 38:439-51. 2007..An experimental evaluation was conducted with MEG data from a somatotopic paradigm. Results show that MiMS is an efficient image model selection technique with robust performances at realistic noise levels...
