Publications

Radushev, D. , Dogonasheva, O., Gutkin, B. & Zakharov, D. (2023). Chimera states in a ring of non-locally connected interneurons. In 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad, Russian Federation, 229-232. doi:10.1109/DCNA59899.2023.10290318

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Calculation of travelling chimera speeds for dynamical systems with ring topologies. In 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 61-64. doi:10.1109/DCNA53427.2021.9586903

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2021). Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel. In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 211-214. doi:10.1109/DCNA53427.2021.9586968

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

Bourgeois-Gironde, S., Mari, A., Nicolas, D. & Blunier, D. (2019). Grammatical mood and ambiguity aversion. In Proceedings of 10th International Conference of Experimental Linguistics, Lisbon, Portugal, 33-36. doi:10.36505/ExLing-2019/10/0008/000370

Castro, V. , Clodic, A., Alami, R. & Pacherie, E. (2019). Commitments in Human-Robot Interaction. In AI-HRI 2019 Proceedings. AAAI Fall Symposium Series.

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

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Bourgeois-Gironde, S. (2020). Le sourire de ma boulangère : sur le rôle des expressions faciales dans les transactions monétaires. In Claudia Senik (Eds.), Crise de confiance ? (pp. 213-230). Paris: La Découverte, "Recherche"

Butterfill , S. & Pacherie, E. (2020). Towards a blueprint for a social animal. In Fiebich, Anika (Eds.), Minimal Cooperation and Shared Agency (pp. 111-125).Springer . doi:10.1007/978-3-030-29783-1

Mylopoulos, M. & Pacherie, E. (2020). Self-Control as Hybrid Skill. In A. Mele (Eds.), Surrounding Self-Control (pp. 81-100). Oxford : Oxford University Press. doi:10.1093/oso/9780197500941.003.0005

Bourgeois-Gironde, S. (2019). Comment Managua fut vers 1979 le lieu d’un événement linguistique révolutionnaire. In ESKA (Eds.), Problèmes d'Amérique latine (Vol. 112, pp. 101-114). doi:0.3917/pal.112.0101

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Bourgeois-Gironde, S. (2017). How regret moves individual and collective choices towards rationality. Handbook of Behavioural Economics and Smart Decision-Making: Rational …

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

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.)

Pacherie, E. (2012). The Phenomenology of Joint Action: Self-Agency Vs. Joint-Agency . (pp. 343-389).

Pacherie, E. (2012). Action. (pp. 92–111 ).

Pacherie, E. (2010). Self-Agency.

Pacherie, E. & Haggard, P. (2010). What Are Intentions? . (pp. 70–84).

Pacherie, E. (2008). Perception, Emotions and Delusions: Revisiting the Capgras Delusion . (pp. 07-126).

Pacherie, E. (2007). Is collective intentionality really primitive? (pp. 153-175).

Dokic, J. & Pacherie, E. (2006). On the Very Idea of a Frame of Reference . (pp. 259-280).

Pacherie, E. (2006). Towards a Dynamic Theory of Intentions . (pp. 145-167).

Pacherie, E. (2005). Perceiving Intentions. (pp. 401-414).

Pacherie, E. (2002). Intention .