Publications

Bouvier, A. (2009). Joint Commitment, Coercion and Freedom in Science : Conceptual Analysis and Case Studies. , 143–61

Bouvier, A. (2007). Collective Belief, Acceptance, and Commitment in Science . Iyyun, 56, 91

Bouvier, A. (2004). En Quoi Et Pourquoi le Marxisme N'est Plus Une Croyance Orientant l'Action Collective. Actualité de la Politique Délibérative, de l'Économie Normative Et de l'Éthique Sociale. Revue Philosophique De Louvain, 102 (2), 311–332

Bouvier, A. (2002). An Epistemological Plea for Methodological Individualism and Rational Choice Theory in Cognitive Rhetoric. Philosophy of the Social Sciences, 32(1 ), 51–70

Bouvier, A. (2002). Dans quelle mesure la théorie sociale de James Coleman est-elle trop parcimonieuse?

Bouvier, A. (1995). Les Paralogismes d'Un Point de Vue Sociologique. Hermes, 16 , 45

Bouvier, A. (2018). La Théorie de L’Argumentation Comme Épistémologie Sociale Naturalisée. Philosophia Scientiæ, 22(1), 17–35. doi:10.4000/philosophiascientiae.1461

Bouvier, A. (2018). Selected Papers from the 6th ENPOSS Meeting, Cracow, 20-22 September, 2017.

Bouvier, A. (2018). Intentional, unintentional and sub-intentional aspects of social mechanisms and rationality. The example of commitments in political life. In Gérald Bronner, Francesco Di Iorio (Eds.), The Mystery of Rationality: Mind, Beliefs and the Social Sciences (pp. 17-35). Cham (CH): Springer Nature

Bouvier, A. (2017). Analyse critique de Ch. Plantin, 2016, Dictionnaire de l’argumentation. Une introduction aux études d’argumentation. L’Année sociologique (Vol. 67, pp. 1-5). Lyon: ENS Editions

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

Brendel, W. , Bourdoukan, R., Vertechi, P. , Machens, C. & Denève, S. (2020). Learning to represent signals spike by spike. PLOS Computational Biology, 16(3), e1007692. doi:10.1371/journal.pcbi.1007692

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

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.

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

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.

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.

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

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)

Gutierrez, G. & Denève, S. (2018). Population adaptation in efficient balanced networks. eLife, 8, e46926. doi:10.7554/eLife.46926