U960

Social Cognition Group

Domaine de recherche principal: 

Cognitive neurosciences / neuropsychology /neuroeconomy

Mots clefs: 

social cognition
neuroimaging
Social Behaviour
Affective processes
Non verbal Communication

Labelisation ENP: 

2014

Centre de recherche / Institut: 

ENS Ecole Normale Supérieure

Code unité de recherche: 

U960

Our primary interest is to study the neural time course and correlates underpinning the processing of the early stages of social interactions. We have now set out to address several key issues important to our understanding of the processing of social interactions, for example (i) what is the biological function of spontaneous and involuntary facial reactions when facing emotional events; (ii) how and when do we perceive / decide that we are the target of a communicative intention (iii) how we (decide to) prepare an adapted motor response.

Leader

Leader: 

Établissements

Établissement de rattachement: 

Inserm

Université: 

Université Pierre et Marie Curie

École doctorale: 

ED158
Laboratory

Nom: 

Laboratoire de Neurosciences Cognitives

Initiatives d'Excellence: 

Paris-Science Lettre (ANR-11-0001-02 PSL), Laboratoire d’excellence : Institut des Sciences Cognitives (IEC) – Ecole Normale (ANR-10-LABX-0087)
Publications

publications: 

Dezecache G, Grèzes J and Dahl C. The nature and distribution of affiliative behaviour during exposure to mild threat. Royal Society Open Science (in press)

Ioannou C., El Zein M., Wyatt V., Scheid I., Amsellem F., Delorme R., Chevallier C. & Grèzes J. Shared mechanism for emotion processing in adolescents with and without autism. Scientific Reports 7:42696 (2017).

El Zein M., Wyart V., Grèzes J.  Anxiety dissociates the adaptive functions of sensory and motor response enhancements to social threats. Elife, 4:e10274 (2015).

Grèzes J., Valabregue R., Gholipour B., Chevallier C.A direct amygdala-motor pathway for emotional displays to influence action: a Diffusion Weighted Imaging study. Human Brain Mapping. 35(12):5974-83 (2014).

Conty L., Dezecache G., Hugueville L., Grèzes J. Early binding of gaze, gesture and emotion: neural time course and correlates. Journal of Neuroscience, 32(13):4531-9 (2012).

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.

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.

Mathematics of Neural Circuits

Domaine de recherche principal: 

Computational neurosciences / neural theory

Mots clefs: 

Learning
Synaptic plasticity
computational neuroscience
cognitive decision processes
neuronal architectures
drug addiction
short-term memory
decision-making

Labelisation ENP: 

2007

Centre de recherche / Institut: 

ENS Ecole Normale Supérieure

Code unité de recherche: 

U960

Le but du GNT est de comprendre les bases du traitement de l'information dans le cerveau, en mettant en évidence les liens entre la dynamique collective d'une population neuronale et les fonctions associées à cette population.

Leader

Leader: 

Personnel

Etudiants ENP: 

Établissements

Établissement de rattachement: 

Ecole Normale Supérieure

Établissements affiliés: 

Inserm
Laboratory

Nom: 

Laboratoire de Neurosciences Cognitives

Initiatives d'Excellence: 

IEC, PSLP
Publications

publications: 

Buchin A, Chizhov A, Huberfeld G, Miles R, Gutkin BS. Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. J Neurosci. 2016 Nov 16;36(46):11619-11633.

Keramati M, Gutkin B. Homeostatic reinforcement learning for integrating reward collection and physiological stability. Elife. 2014 Dec 2;3. doi: 10.7554/eLife.04811.

Caze, R.D., Humphries, M., and Gutkin, B.S., Passive Dendrites Enable Single Neurons to Compute Linearly Non-separableFunctions, PLOS Computational Biology, 9(2): e1002867, (2013).


Keramati, M. and Gutkin, B.S., Imbalanced decision hierarchy in addicts emerging from drug-hijacked dopamine spiraling circuit,PLOS One, 8:4, 1-8 (2013).

Lochmann, T., Ernst, U.A., and Denève, S., Perceptual inference predicts contextual modulations of sensory responses, Journal of Neuroscience, 32(12), 4179-95 (2012).

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Baudonnat, S.P.M., Besson, M., Reperant, C., Zemdegs, J., Pages, C., Caboche, J., Gutkin, B., Gardier, A.M., Changeux, J., Faure, P., and Maskos, U., Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement., Molecular Psychiatry, in press, (2012).

DiPoppa, M., Krupa, M., Torcini, A., and Gutkin, B., Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks, SIAM Journal of Applied Dynamical Systems, 11, 864 894 (2012).

Deneve, S., Making decisions with unknown sensory reliability, Frontiers in Neuroscience, 6:75, doi: 10.3389/fnins.2012.00075 (2012).

Jardri, R. and Deneve, S., Computational models of hallucinations., The Neuroscience of Hallucinations, (2012).