Difference between revisions of "Anr vibrations"

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Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals Hitziger S., Clerc M., Saillet S., Bénar C, Papadopoulo T.
 
Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals Hitziger S., Clerc M., Saillet S., Bénar C, Papadopoulo T.
  
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Revision as of 10:56, 21 September 2015

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« Virtual Brain »-based interpretation of electrophysiological Signals in epilepsy (VIBRATIONS)

GOAL

The Vibrations project aims at modelling interictal networks in the Virtual Brain environment (thevirtualbrain.org ). It is funded by a joint ANR-DGOS grant (PRTS projet de recherche translationnelle: call). MEMBERS OF THE CONSORTIUM

P1. INS U1106, INSERM, Aix-Marseille Université (http://ins.univ-amu.fr)

P2. Clinical Neurophysiology Department, Timone Hospital, AP-HM

P3 : Athena team, Sophia Antipolis

P4. Neurology Department, CHU Rennes

P5: LTSI INSERM U1099


PUBLICATIONS

Computational models of epileptiform activity. Wendling F, Benquet P, Bartolomei F, Jirsa V. J Neurosci Methods. 2015

Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals Hitziger S., Clerc M., Saillet S., Bénar C, Papadopoulo T.

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