UPR 3293

Dynamiques corticales et intégration multisensorielle

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

Optogenetics
multisensory processing
two photon calcium imaging
theoretical neuroscience
quantitative behavior

Labelisation ENP: 

2014

Centre de recherche / Institut: 

Unité de Neuroscience, Information et Complexité

Code unité de recherche: 

UPR 3293



Leader

Leader: 

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

CNRS

Établissements affiliés: 

Université Paris Sud

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Unité Neuroscience Information Complexité (UNIC)

Initiatives d'Excellence: 

Idex NeuroSaclay
Publications

publications: 

Thomas Deneux, Alexandre Kempf, Aurélie Daret, Emmanuel Ponsot and Brice Bathellier, Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities, Nature Communications 7: 12682, (2016)

Yves Frégnac and Brice Bathellier, Cortical Correlates of Low-Level Perception: From Neural Circuits to Percepts, Neuron 88(1): 110-126, (2015)

Bathellier B,  Tee SP, Hrovat C, Rumpel S, A multiplicative reinforcement learning model capturing learning dynamics and inter-individual variability in mice. Proc. Natl. Acad. Sci. USA, 2013, 110(49):19950-5.

Bathellier B, Ushakova L, and Rumpel S, Spontaneous association of sounds by discrete neuronal activity patterns in the neocortex. Neuron, 2012, 76(2):435-49

Dynamique oscillante et stochastique des réseaux thalamocorticaux

Domaine de recherche principal: 

Computational neurosciences / neural theory

Labelisation ENP: 

2007

Centre de recherche / Institut: 

Unité de Neuroscience, Information et Complexité

Code unité de recherche: 

UPR 3293

Propriétés intégratives des neurones du neocortex dans les états de haute conductance.

Leader

Leader: 

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

CNRS

Établissements affiliés: 

Université Paris Sud

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158 - 3C
Laboratory

Initiatives d'Excellence: 

IDEX NeuroSaclay
Publications

publications: 

Dehghani, N., Peyrache, A., Telenczuk, B., Le Van Quyen, M., Halgren, E., Cash, S.S., Hatsopoulos, N.G. and Destexhe, A. Dynamic balance of excitation and inhibition in human and monkey neocortex.  Nature Scientific Reports 6: 23176, 2016.  DOI: 10.1038/srep23176

Zerlaut, Y. and Destexhe, A. Enhanced responsiveness and low-level awareness in stochastic network states.  Neuron 7: 1002-1009, 2017. DOI: 10.1016/j.neuron.2017.04.001

Telenczuk, B., Dehghani, N., Le Van Quyen, M., Cash, S., Halgren, E., Hatsopoulos, N.G. and Destexhe, A. Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex.  Nature Scientific Reports 7: 40211, 2017.  DOI: 10.1038/srep40211

Barbieri, F., Trauchessec, V.. Caruso, L., Trejo Rosillo, J., Telenczuk, B., Paul, E., Bal, T., Destexhe, A., Fermon, C., Pannetier-Lecoeur, M. and Ouanounou, G. Local recording of biological magnetic fields using Giant Magneto Resistance-based micro-probes.  Nature Scientific Reports 6: 39330, 2016.  DOI: 10.1038/srep39330

Le Van Quyen, M., Muller, L., Telenczuk, B., Cash, S.S., Halgren, E., Hatsopoulos, N.G., Dehghani, N. and Destexhe, A. High-frequency oscillations in human and monkey neocortex during the wake-sleep cycle.  Proc. Natl. Acad. Sci. USA 113: 9363-9368, 2016.  DOI: 10.1073/pnas.1523583113

Cognisciences: Intégration et plasticité synaptique dans le cortex visuel

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

Vision
electrophysiology
imaging
Multiscale
Modeling

Labelisation ENP: 

2007

Centre de recherche / Institut: 

Unité de Neuroscience, Information et Complexité

Code unité de recherche: 

UPR 3293

An issue central to the theme of complexity in the dynamics and function of biological networks concerns the inferences that can be made from multiscale measurements ranging from microscopic to macroscopic levels of integration. Our research is based on interdisciplinary approaches ranging from electrophysiology (intracellular sharp and patch recordings, in vivo), network imaging (voltage sensitive dye), psychophysical measurements to functional databasing and phenomenological and computational modeling.

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

CNRS

Établissements affiliés: 

Université Paris Sud

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158 - 3C
Laboratory

Initiatives d'Excellence: 

Idex i-Code, Idex NeuroSaclay
Publications

publications: 

Gerard-Mercier F, Carelli PV, Pananceau M, Troncoso XG, Frégnac Y. Synaptic Correlates of Low-Level Perception in V1. J Neurosci. 2016 Apr 6;36(14):3925-42. doi: 10.1523/JNEUROSCI.4492-15.2016.

Fournier J, Monier C, Levy M, Marre O, Sári K, Kisvárday ZF, Frégnac Y. Hidden complexity of synaptic receptive fields in cat V1. J Neurosci. 2014 Apr 16;34(16):5515-28. doi: 10.1523/JNEUROSCI.0474-13.2014.

Arduin P.J. , Ego-Stengel V. , Frégnac Y. and Shulz D.E. (2013) Master neurons induced by operant conditioning in rat motor cortex during a brain-machine interface task. The Journal of Neuroscience. 33(19): 8308-20.

Levy M. , Fournier J. and Frégnac Y. (2013) The role of delayed suppression in slow and fast contrast adaptation in v1 simple cells. The Journal of Neuroscience. 33(15):6388-400.

El Boustani S. , Yger P. , Destexhe A. and Frégnac Y. (2012) A. Stable learning in stochastic network states. J. Neurosci. 32: 194-214.

Frégnac Y. (2012) Reading out the synaptic echoes of low level perception in V1. Lecture Notes in Computer Science. 7583: 486-495.

Chavane F. , Sharon D. , Jancke D. , Marre O. , Frégnac Y. and Grinvald A. (2011) Lateral spread of orientation selectivity in V1 is controlled by intracortical cooperativity. Frontiers in System Neuroscience, 5:4. 1-26.