Publications of Pananceau, M.

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7 publication entries, 0 of them (printed in bold in the list) acknowledge the project support.
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Conference contribution: poster

Paper (reviewed)

Frégnac 2009Fregnac, Y., Baudot, P., Chavane, F., Marre, O., Monier, C., Pananceau, M. and Sadoc, G.Multiscale functional imaging: reconstructing network dynamics from the synaptic echoes recorded in a single visual cortex neuron.Bull Acad Natl Med. (2009) 193(4): 851-862. abstract
Frégnac et al. 2010Frégnac, Y., Baudot, P., Chavane, F., Lorenceau, J., Marre, O., Monier, C., Pananceau, M., Carelli, P. and Sadoc, G. Multiscale functional imaging in V1 and cortical correlates of apparent motion. Dynamics of visual motion processing, Editors (G. Masson and U. Ilg), Springer.(2010) pp. 73-94.

Conference contribution: poster

Carelli et al. 2009Carelli, P., Pananceau, M., Kopysova, I. and Fregnac, Y. Mapping the horizontal synaptic association field with apparent motion in the cat visual cortex. American Society for Neuroscience Abstract. 35: 558.22, Chicago, USA. 2009
Carelli et al. 2010Carelli, P., Pananceau, M., Mercier, F., Monier, C. and Frégnac, Y.Mapping collinear subthreshold facilitation using sparse apparent motion noise.American Society for Neuroscience Abstracts, 36: San Diego. 2010
Colliaux et al. 2007Colliaux, D., Monier, C., Huguet, N., Pananceau, M., Petitot, J. and Frégnac, Y.A phenomenological model of ongoing dynamics in V1 cortexIn Conférence Ladislav TAUC (2007) Complexity in neural network dynamics, (Orgs Y. Frégnac et al.) Gif sur Yvette, France.
Fournier et al. 2009Fournier, J., Monier,C., Levy, M., Pananceau, M. and Y. FrégnacControl of the "Effective" receptive field organization by the spatio-temporal statistics of the visual input.American Society for Neuroscience Abstracts, 35: 353.19. Chicago, USA. 2009
Marre et al. 2007Marre, O., El Boustani, S., Baudot, P., Levy, M., Monier, C., Huguet, N., Pananceau, M., Fournier, J., Destexhe, A. and Fregnac, Y.Stimulus-dependency of spectral scaling laws in V1 synaptic activity as a read-out of the effective network topology.Society for Neuroscience Abstracts (2007) 33: 790.6


3 August 2011