Université Pierre et Marie Curie

Réseau Cortical et Couplage Neurovasculaire

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

cerebral cortex
electrophysiology
Optogenetics
neuronal circuits
blood perfusion and metabolism

Labelisation ENP: 

2007

Code unité de recherche: 

U1130 UMR8246 UMCR18

The team “Cortical network and Neurovascular Coupling” studies neuronal circuits and their relationships with the glio-vascular network in the cerebral cortex. Our previous work has advanced our knowledge of neocortical neuronal types, of their sensitivity to afferent signals, of their places in the functional architecture of intracortical peptidergic transmission, and of their differential roles in neurovascular coupling.

Établissements

Établissement de rattachement: 

Inserm

Établissements affiliés: 

CNRS
Université Pierre et Marie Curie

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Neuroscience Paris Seine

Initiatives d'Excellence: 

IHU Institut de Neurosciences Translationnelles de Paris
Publications

publications: 

Lecrux C, Toussay X, Kocharyan A, Fernandes P, Neupane S, Lévesque M, Plaisier F, Shmuel A, Cauli B, Hamel E. Pyramidal neurons are "neurogenic hubs" in the neurovascular coupling response to whisker stimulation. J Neurosci. 2011 Jul 6;31(27):9836-47.

Hu E, Demmou L, Cauli B, Gallopin T, Geoffroy H, Harris-Warrick RM, Paupardin-Tritsch D, Lambolez B, Vincent P, Hepp R. VIP, CRF, and PACAP act at distinct receptors to elicit different cAMP/PKA dynamics in the neocortex. Cereb  Cortex. 2011 Mar;21(3):708-18.

Tricoire L, Pelkey KA, Daw MI, Sousa VH, Miyoshi G, Jeffries B, Cauli B, Fishell G, McBain CJ. Common origins of hippocampal Ivy and nitric oxide synthase expressing neurogliaform cells. J Neurosci. 2010 Feb 10;30(6):2165-76.

Karagiannis A, Gallopin T, Dávid C, Battaglia D, Geoffroy H, Rossier J, Hillman EM, Staiger JF, Cauli B. Classification of NPY-expressing neocortical interneurons. J Neurosci. 2009 Mar 18;29(11):3642-59.

Petilla Interneuron Nomenclature Group, Ascoli GA, Alonso-Nanclares L, Anderson SA, Barrionuevo G, Benavides-Piccione R, Burkhalter A, Buzsáki G, Cauli  B, Defelipe J, Fairén A, Feldmeyer D, Fishell G, Fregnac Y, Freund TF, Gardner D, Gardner EP, Goldberg JH, Helmstaedter M, Hestrin S, Karube F, Kisvárday ZF, Lambolez B, Lewis DA, Marin O, Markram H, Muñoz A, Packer A, Petersen CC, Rockland KS, Rossier J, Rudy B, Somogyi P, Staiger JF, Tamas G, Thomson AM, Toledo-Rodriguez M, Wang Y, West DC, Yuste R. Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat Rev Neurosci. 2008 Jul;9(7):557-68.

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

Groupe Lobe Frontal

Mots clefs: 

decision-making
neuroimaging techniques
computational modeling
behavioral studies

Labelisation ENP: 

2007

Centre de recherche / Institut: 

ENS Ecole Normale Supérieure

Code unité de recherche: 

U960

Le Laboratoire de Neurosciences Cognitives se consacre à l'étude des bases neurales de l'Action et des processus cognitifs qui lui sont associés sur les plans moteurs, linguistiques, sociaux et intentionnels. Il s'intéresse tout particulièrement à comprendre le fonctionnement du cerveau humain qui sous-tend ces processus cognitifs au moyen des outils d'investigation modernes de la neuroimagerie (Résonance magnétique fonctionnelle, Magnéto- et Electro-encéphalographie), des méthodes de la psychologie expérimentale, et de la modélisation mathématique.

Leader

Leader: 

Établissements

Établissement de rattachement: 

Ecole Normale Supérieure

Établissements affiliés: 

Inserm

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Laboratoire de Neurosciences Cognitives

Initiatives d'Excellence: 

Labex Institut d'Etude de la Cognition IEC - IDHEX Paris Sciences et Lettres
Publications

publications: 

Drugowitsch J, Wyart V, Devauchelle AD, Koechlin E. Computational Precision of Mental Inference as Critical Source of Human Choice Suboptimality. Neuron. 2016 Dec 21;92(6):1398-1411. doi: 10.1016/j.neuron.2016.11.005. 

Drugowitsch, J., Wyart, V. Koechlin, E. Inference rather than selection noise explains behavioral variability in perceptual decision-making. Proceedings of Computational and Systems Neuroscience 2013.

Collins, A., Koechlin, E. (2012). Reasoning, learning and creativity: Frontal lobe function and human decision-making. PLoS Biology, 10(3):e1001293.doi:10.1371/journal.pbio.1001293.

Drugowitsch, J.& Koechlin, E. (2012). Task set switching: dissecting ideal observer models and their approximation. Proceedings of Computational and Systems Neuroscience, 2012.

Summerfield, C., Behrens, T., Koechlin, E. (2011). Perceptual classification in a rapidly-changing environment, Neuron, 71, 725-736.

Koechlin, E. (2011). Frontal pole function: what is specifically human?, Trends in Cognitive Sciences, 15, 241.
Chambon V, Domenech P, Pacherie E , Koechlin E, Baraduc P, Farrer C (2011). What Are They Up To? The Role of Sensory Evidence and Prior Knowledge in Action Understanding, PloS One, 6, e17133.

TRUEBUTSCHEK Darinka

Session (mois année): 

September 2012

Niveau: 

thèse

Alumnus: 

Alumnus

Date Graduate program year 2,3,4: 

1 October 2014 - 1 October 2018

Université de rattachement: 

Université Pierre et Marie Curie

Code école doctorale: 

ED158

Directeur de thèse: 

Intitulé de la thèse: 

The unconscious human brain: Attention, cognition, and working memory

Defense date: 

Monday, 1 October, 2018

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.

Dynamique cérébrale, Mémoire et Apprentissage

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

computational neuroscience
Cortex
Cerebellum
basal ganglia
Network mechanism

Labelisation ENP: 

2009

Centre de recherche / Institut: 

INCC - UMR 8002 - Paris Descartes University

Code unité de recherche: 

UMR 8002

Nos recherches portent sur la dynamique du cortex cérébral, du cervelet et des ganglions de la base. Les axes de recherche sont: 1- Etude de la Perception, de la Cognition & du Comportement, 2- Le Dévelopment & la Plasticité, 3- La Neurophysiologie & les Pathologies neuronales.

Leader

Leader: 

Établissements

Établissement de rattachement: 

CNRS

Établissements affiliés: 

Université Paris Descartes

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Centre de Neurophysique, Physiologie et Pathologie
Publications

publications: 

Arakaki T, Mahon S, Charpier S, Leblois A, Hansel D. The Role of Striatal Feedforward Inhibition in the Maintenance of Absence Seizures. J Neurosci. 2016 Sep 14;36(37):9618-32. doi: 10.1523/JNEUROSCI.0208-16.2016.

Arakaki T, Mahon S, Charpier S, Leblois A, Hansel D. The Role of Striatal Feedforward Inhibition in the Maintenance of Absence Seizures. J Neurosci. 2016 Sep 14;36(37):9618-32. doi: 10.1523/JNEUROSCI.0208-16.2016.

Gould M,# Leblois A, Cesa Bianchi F, Montenegro V. (2014) Convention on the rights of persons with disabilities, assistive technology and information and communication technology requirements: where do we stand on implementation? Disabil Rehabil Assist Technol. Nov 3:1-6.

#Mongillo G, Shteingart H, Loewenstein Y. 2014. The Misbehavior of Reinforcement Learning. Proceedings of the IEEE 102, 528–541.

#Ady V, Perroy J, Tricoire L, Piochon C, Dadak S, Chen X, Dusart I, Fagni L, Lambolez B,# Levenes C. 2014. Type 1 metabotropic glutamate receptors (mGlu1) trigger the gating of GluD2 delta  glutamate receptors. EMBO Reports 15(1), 103–109 

#Darshan R, #Leblois A, #Hansel D. 2014. Interference and Shaping in Sensorimotor Adaptations with rewards.PLOS Comput. Biol. 10:e1003377 

Goldin MA, Alonso LM, #Alliende JA, Goller F, Mindlin GB. 2013. Temperature Induced Syllable Breaking Unveils Nonlinearly Interacting Timescales in Birdsong Motor Pathway. PLOS ONE 8(6):e67814

Visual Cognition Group

Domaine de recherche principal: 

Cognitive neurosciences / neuropsychology /neuroeconomy

Mots clefs: 

electrophysiology
consciousness
human visual system
attention
brain-body interactions

Labelisation ENP: 

2007

Centre de recherche / Institut: 

ENS Ecole Normale Supérieure

Code unité de recherche: 

U960

The articulation between cognition and consciousness

We use MEG and behavior to understand how the neural processes performing perceptual (ie, figure/ground) or cognitive (ie, attentional selection) are articulated with those giving rise to visual subjective experience.

How brain-body loops may participate to the emergence of consciousness

Leader

Leader: 

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

Ecole Normale Supérieure

Établissements affiliés: 

Inserm

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Laboratoire de Neurosciences Cognitives

Initiatives d'Excellence: 

Institut d'Etudes Cognitives
Publications

publications: 

Park HD, Tallon-Baudry C. The neural subjective frame: from bodily signals to perceptual consciousness. Philos Trans R Soc Lond B Biol Sci. 2014 Mar 17;369(1641):20130208. doi: 10.1098/rstb.2013.0208. Print 2014 May 5.

Sergent C., Wyart V., Babo-Rebelo M., Naccache L., Cohen L., Tallon-Baudry C. (2013) Cueing attention after the stimulus is gone can retrospectively trigger conscious perception. Current Biology 23, 150-155.

Rastelli, F., Tallon-Baudry, C., Migliaccio, R., Toba, M.N., Ducorps, A., Pradat-Diehl, P., Duret, C., Dubois, B., Valero-Cabre, A., and Bartolomeo, P. (2013) Neural dynamics of neglected targets in patients with right hemisphere damage, Cortex, 49(7), 1989-1996.

Campana, F. and Tallon-Baudry, C. (2013) Anchoring visual subjective experience in a neural model: The coarse vividness hypothesis. Neuropsychologia, 51(6), 1050-1060.

Chanes, L., Quentin, R., Tallon-Baudry, C., and Valero-Cabre, R. (2013) Causal frequency-specific contributions of frontal spatiotemporal patterns induced by non-invasive neurostimulation to human visual performance (2013), Journal of Neuroscience, 33, 5000-5005.

Gamond L, Tallon-Baudry C, Guyon N, Lemaréchal JD, Hugueville L, George N. (2012) Behavioral evidence for differences in social and non-social category learning. Frontiers in Psychology 3:291.

CENIR Imagerie à Résonance Magnétique

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

MEG
EEG
IRM
Sciences Cognitives
Neurophysiologie
Pathologies cérébrales et médullaires

Labelisation ENP: 

2007

Centre de recherche / Institut: 

Institut du Cerveau et de la Moelle épinière

Code unité de recherche: 

UMRS 1127 UMR 7225

Le CENIR a pu commencer ses activités de recherche en neuro-imagerie grâce à la coopération financière de grandes institutions publiques et de prestigieux partenaires privés. L'ENP a cofinancé l'antenne tête 32 canaux et 100% de leur système EEG. 

Leader

Leader: 

Établissements

Établissement de rattachement: 

Inserm

Établissements affiliés: 

CNRS
Université Pierre et Marie Curie

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Institut du Cerveau et de la Moëlle

Initiatives d'Excellence: 

IHU-A-ICM, FLI, Neuratris
Publications

publications: 

Gargouri F, Messé A, Perlbarg V, Valabregue R, McColgan P, Yahia-Cherif L, Fernandez-Vidal S, Ben Hamida A, Benali H, Tabrizi S, Durr A, Lehéricy S. Longitudinal changes in functional connectivity of cortico-basal ganglia networks in manifests and premanifest huntington's disease. Hum Brain Mapp. 2016 Jul 12. doi: 10.1002/hbm.23299. 

Rosso C, Valabregue R, Arbizu C, Ferrieux S, Vargas P, Humbert F, Attal Y, Messé A, Zavanone C, Meunier S, Cohen L, Delmaire C, Thielscher A, Herz DM, Siebner HR, Samson Y, Lehéricy S. The eye of the self: precuneus volume and visual perspective during autobiographical memory retrieval. Brain Struct Funct. 2014 May;219(3):959-68. doi: 10.1007/s00429-013-0546-2. Epub 2013 Apr 4.

Dumas, T., Dubal, S., Attal, Y., Morel, S., Chupin, M., Jouvent, R., & George, N. (2013). MEG evidence for early amygdala responses to fearful faces in healthy adults. PloS ONE, 8(9): e74145. oi:10.1371/journal.pone.0074145.

Fasoula A, et al. Comparative performance evaluation of data-driven causality measures applied to brain networks. J Neurosci Methods (2013), http://dx.doi.org/10.1016/j.jneumeth.2013.02.021

Attal Y, Schwartz D Assessment of Subcortical Source Localization Using Deep Brain Activity Imaging Model with Minimum Norm Operators: A MEG Study. PLoS ONE (2013) 8(3): e59856. doi:10.1371/journal.pone.0059856

Dalal, SS., Jerbi, K., Bertrand, O., Adam, C., Ducorps, A., Schwartz, D., Garnero, L., Baillet, S., Martinerie, J., Lachaux, J-P. Evidence for MEG detection of hippocampus oscillations and cortical gamma-band activity from simultaneous intracranial EEG. Epilepsy & Behavior (2013) 28 (2), 310-311. Dio: 10.1016/j.yebeh.2012.04.032

Ulloa, J.L., Puce, A., Hugueville, L., & George, N. (2013). Sustained neural activity to gaze and emotion perception in dynamic social scenes. SCAN, in press. doi: 10.1093/scan/nss141

TINTERRI Andrea

Session (mois année): 

September 2012

Niveau: 

thèse

Alumnus: 

Alumnus

Date Graduate program year 2,3,4: 

4 February 2013 - 3 February 2016

Université de rattachement: 

Université Pierre et Marie Curie

Code école doctorale: 

ED 515

Directeur de thèse: 

Intitulé de la thèse: 

From cell specification to circuit formation in the basal ganglia.

Defense date: 

Friday, 30 September, 2016

Inhibition synaptique et auto-régulation des microcircuits corticaux

Domaine de recherche principal: 

Neurophysiology / systems neuroscience

Mots clefs: 

Inhibition
cerebral cortex
interneurons
synaptic transmission
GABA

Labelisation ENP: 

2011

Centre de recherche / Institut: 

Institut du Cerveau et de la Moelle épinière

Code unité de recherche: 

UMRS 1127 UMR 7225

In the cerebral cortex the constant computation of incoming sensory information is dynamically integrated to provide a coherent representation of the world and generate highly sophisticated cognitive functions. Cortical circuits are made of different neuron types connecting one another through a staggering number of synaptic connections that are responsible for the propagation of information between neurons.

Leader

Leader: 

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

Inserm

Établissements affiliés: 

CNRS
Université Pierre et Marie Curie

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Initiatives d'Excellence: 

LabEX BioPsy, ENI-Net
Publications

publications: 

Antonucci F, Corradini I, Morini R, Fossati G, Menna E, Pozzi D, Pacioni S, Verderio C, Bacci A, Matteoli M (2013) Reduced SNAP-25 alters short-term plasticity at developing glutamatergic synapses EMBO Rep. 14:645-51.

Baptista S, Lourenço J, Milhazes N, Borges F, Silva AP, Bacci A. Long-Term Treatment with Low Doses of Methamphetamine Promotes Neuronal Differentiation and Strengthens Long-Term Potentiation of Glutamatergic Synapses onto Dentate Granule Neurons. eNeuro. 2016 Jul 11;3(3). pii: ENEURO.0141-16.2016. doi: 10.1523/ENEURO.0141-16.2016. eCollection 2016 May-Jun.

Lourenço J, Pacioni S, Rebola N, van Woerden GM, Marinelli S, DiGregorio D, Bacci A (2014) Non-associative potentiation ofperisomatic inhibition alters the temporal coding of neocortical layer 5 pyramidal neurons PLoS Biology 12:e1001903