Publications

Bouvier, A. (2017). Analyse critique de F.H. Van Eemeren, B. Garssen, E.C.W.Krabbe, A.F. Snoeck Henkemans, B. Verheij, J.H.M. Wagemans (eds), 2014, Handbook of Argumentation Theory. L’Année sociologique (Vol. 67, pp. 7-11). Dordrecht: Springer Verlag

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Chambon, V., Thero, H., Findling, C. & Koechlin, E. (2018). Believing in one's power: a counterfactual heuristic for goal-directed control. bioRxiv, 498675. doi:10.1101/498675

Chambon, V., Domenech, P., Jacquet, P., Barbalat, G., Bouton, S., Pacherie, E., Koechlin, E. & Farrer, C. (2017). Neural coding of prior expectations in hierarchical intention inference. Scientific reports, 7(1), 1278. doi:10.1038/s41598-017-01414-y

Chiril, P. , Moriceau, V. , Benamara, F. , Origgi, G., Coulomb-Gully, M. & Mari, A. (2020). He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist. In 58th Annual Meeting of the Association for Computational Linguistics 2020, France, 4055-4066. doi:10.18653/v1/2020.acl-main.373

Chiril, P. , Moriceau, V. , Benamara, F. , Mari, A., Origgi, G. & Coulomb-Gully, M. (2020). An Annotated Corpus for Sexism Detection in French Tweets. In LREC 2020, Marseille, EuropeanLanguageResourcesAssociation (ELRA), 1397–1403.

Daniele, G. , Lunghi, C., Dardano, A. , Binda, P. , Ceccarini, G., Ferruccio, S. , Giusti, L. , Ciccarone, A. , Bellini, R. , Moretto, C. , Maria Concetta, M. & Del Prato, S. (2021). Bariatric surgery restores visual cortical plasticity in nondiabetic subjects with obesity. International Journal of Obesity , 45, 1821-1829. doi:10.1038/s41366-021-00851-0

Deneux, T., Kempf, A., Daret, A., Ponsot, E. & Bathellier, B. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature communications, 7, 12682. doi:10.1038/ncomms12682

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

Dokic, J. & Proust, J. (2002). Simulation and Knowledge of Action.

Domenech, P., Rheims, S. & Koechlin, E. (2020 ). Neural Mechanisms resolving Exploitation-Exploration dilemmas in the prefrontal cortex. Science, 369(6507), eabb0184. doi:10.1126/science.abb0184

Domenech, P., Redouté, J., Koechlin, E. & Dreher, J. (2018). The Neuro-Computational Architecture of Value-Based Selection in the Human Brain. Cerebral cortex (New York, N.Y. : 1991), 28(2), 585-601. doi:10.1093/cercor/bhw396

Duverne, S. & Koechlin, E. (2017). Rewards and Cognitive Control in the Human Prefrontal Cortex. Cerebral cortex (New York, N.Y. : 1991), 27(10), 5024-5039. doi:10.1093/cercor/bhx210

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Eskenazi, T., Montalan, B., Jacquot, A., Proust, J., Grèzes, J. & Conty, L. (2016). Social influence on metacognitive evaluations: The power of nonverbal cues. Quarterly journal of experimental psychology (2006), 69(11), 2233-47. doi:10.1080/17470218.2015.1115111

Feest, U. , Bouvier, A., Henderson, D. , Kaldis , B., Montuschi , E., Risjord, M. , Roth, P., Zahle , J. & Zamora-Bonilla, J. (2019). Special Issue (Part II) In Joint Session of the European Network for the Philosophy of the Social Sciences (ENPOSS) and the Roundtable on Philosophy of the Social Sciences, Hannover.

Feest, U. , Bouvier, A., Henderson, D. , Kaldis , B., Montuschi , E., Risjord, M. , Roth, P., Zahle , J. & Zamora-Bonilla, J. (2019). Special Issue (Part I) , Vol. 49: In Joint Session of the European Network for the Philosophy of the Social Sciences (ENPOSS) and the Roundtable on Philosophy of the Social Sciences , Hannover.

Findling, C., Chopin, N. & Koechlin, E. (2021). Imprecise neural computations as a source of adaptive behaviour in volatile environments. Nature Human Behaviour , 5, 99-112. doi:10.1038/s41562-020-00971-z

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Gaffin-Cahn, E. , Locke, S., Hosseinizaveh, N. , Mamassian, P. & Landy, M. (2018). Assessing the role of rewards and priors on confidence judgments. journal of Vision, 18(10), 1046

Gekas, N. & Mamassian, P. (2018). Mapping the effects of stimulus history on perception. Journal of Vision, 18(10), 8-8

Gekas, N., Perrinet, L., Mamassian, P., Montagnini, A. & Masson, G. (2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, 18(10), 345

Gekas, N. & Mamassian, P. (2021). Adaptation to one perceived motion direction can generate multiple velocity aftereffects. Journal of Vision, 21, 17. doi:10.1167/jov.21.5.17

Gekas, N., Mcdermott, K. & Mamassian, P. (2019). Disambiguating serial effects of multiple timescales. Journal of Vision, 19(6), 24-24. doi:10.1167/19.6.24

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022