Publications

Gu, Z., Smith, K. , Loukatou, G., Completo Guerreiro, I., Dudek, S. , Gutkin, B., Jensen, P. & Yakel, J. (2020). Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice . Cell Reports, 31(10), 107740. doi:10.1016/j.celrep.2020.107740

Zamani, A. , Novikov, N. & Gutkin, B. (2020). Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 82, 105024. doi:10.1016/j.cnsns.2019.105024

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

Krupa, M., Gutkin, B. & Zakharov, D. (2020). Modeling dopaminergic modulation of clustered gamma rhythms. Communications in Nonlinear Science and Numerical Simulation, 82(105086), 1-10. doi:10.1016/j.cnsns.2019.105086

Heras-Escribano, M. & Castro, V. (2020). Social Cognition: a Normative Approach. Acta Analytica volume, 35(75–100). doi:10.1007/s12136-019-00388-y

Castro, V. (2020). Regulation, Normativity and Folk Psychology. Topoi , 39, 57–67. doi:10.1007/s11245-017-9511-7

Holgado, M. & Castro, V. (2020). The Social Cover View: a Non-epistemic Approach to Mindreading. Philosophia, 48, 483–505. doi:10.1007/s11406-019-00096-2

Castro, V. & Manrique, M. (2020). Shaping your own mind: The self- mindshaping view on metacognition. Phenomenology and the Cognitive Science. doi:10.1007/s11097-020-09658-2

Castro, V. & Pacherie, E. (2020). Joint actions, commitments and the need to belong. Synthese, . doi:10.1007/s11229-020-02535-0

Novikov, N. & Gutkin, B. (2020). Role of synaptic nonlinearity in persistent firing rate shifts caused by external periodic forcing. PHYSICAL REVIEW E, 101(5), 052408. doi:10.1103/PhysRevE.101.052408

Castro, V. (2019). Justification, Conversation and Folk Psychology. Theoria. An International Journal for Theory, History and Foundations of Science,, 34 (1), 73-88. doi:10.1387/theoria.18022

Pérez Navarro, E., Castro, V. , Heras-Escribano, M. & González de Prado , J. (2019). Not Expressivist Enough: Normative Disagreement about belief attribution. Res Philosophica, 96 (4), 1-22. doi:10.11612/resphil.1794

Castro, V. (2019). Inner Speech and Metacognition: a commitment-based approach. Logos & Episteme, X(3), 245-261. doi:10.5840/logos-episteme201910324

Castro, V. (2019). Inner Speech and Metacognition: a defense of the commitment-based approach. Logos and Episteme: An International Journal of Epistemology, 3, 245-261. doi:10.5840/logos-episteme201910324

Sahai, A., Desantis, A., Grynszpan, O., Pacherie, E. & Berberian, B. (2019). Action co-representation and the sense of agency during a joint Simon task: comparing human and machine co-agents. Consciousness and Cognition, 67, 44-55. doi:10.1016/j.concog.2018.11.008

Grynszpan, O. , Sahai, A., Hamidi, N. , Pacherie, E., Berberian, B. , Roche, L. & Saint-Bauzel, L. (2019). The sense of agency in human-human vs human-robot joint action. Consciousness and Cognition, 27, 102820. doi:10.1016/j.concog.2019.102820

Martin, J. & Pacherie, E. (2019). Alterations of Agency in Hypnosis: A New Predictive Coding Model. Psychological Review, 126(1), 133–152 . doi:10.1037/rev0000134

Sidarus, N., Palminteri, S. & Chambon, V. (2019). Cost-benefit trade-offs in decision-making and learning. PLOS Computational Biology, 15(9), e1007326. doi:10.1371/journal.pcbi.1007326

Bigenwald, A. & Chambon, V. (2019). Criminal Responsibility and Neuroscience: No Revolution Yet. Front. Psychol., 10, 1406. doi:10.3389/fpsyg.2019.01406

Nioche, A., Garcia, B., Lefebvre, G., Boraud, T., Rougier, N. & Bourgeois-Gironde, S. (2019). Coordination over a unique medium of exchange under information scarcity. Palgrave Communications, 5, 153. doi:10.1057/s41599-019-0362-2

Nioche, A., Bourgeois-Gironde, S. & Boraud, T. (2019). An asymmetry of treatment between lotteries involving gains and losses in rhesus monkeys. Scientific Reports, 9(10441). doi:10.1038/s41598-019-46975-2

Vinckier, F., Rigoux, L., Kurniawan, I., Bourgeois-Gironde, S., Daunizeau, J., Pessiglione, M., Chen, H. & Gershman, S. (2019). Sour grapes and sweet victories: How actions shape preferences. PLOS Computational Biology, 15(1). doi:10.1371/journal.pcbi.1006499

Marciano-Romm, D., Bourgeois-Gironde, S., Y. Deouell, L. & Krispin, E. (2019). Limited resources or limited luck? Why people perceive an illusory negative correlation between the outcomes of choice options despite unequivocal evidence for independence. Judgment and Decision Making, 14(5), 573-590

Nioche, A., Garcia, B., Boraud, T., Bourgeois-Gironde, S. & Rougier, N. (2019). Interaction effects between consumer information and firms' decision rules in a duopoly: how cognitive features can impact market dynamics. Palgrave Communications, 5(1). doi:10.1057/s41599-019-0241-x

De Petrillo , F., Caroli , M., Gori , E., Micucci , A., Gastaldi , S., Bourgeois-Gironde, S. & Addessi , E. (2019). Evolutionary origins of money categorization and exchange: an experimental investigation in tufted capuchin monkeys (Sapajus spp.) Animal Cognition, 22(2), 169-186. doi:10.1007/s10071-018-01233-2

Dumont, G. & Gutkin, B. (2019). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLOS Computational Biology . doi:10.1371/journal.pcbi.1007019

Deperrois, N., Moiseeva, V. & Gutkin, B. (2019). Minimal Circuit Model of Reward Prediction Error Computations and Effects of Nicotinic Modulations. Frontiers in neural circuits, 12, 116. doi:10.3389/fncir.2018.00116

Kriegel, U. (2019). Dignāga’s Argument for the Awareness Principle: An Analytic Refinement. Philosophy East & West , 69, 144-156

Sidarus, N., Palminteri, S. & Chambon, V. (2018). Trading off the cost of conflict against expected rewards. Plos Computational Biology, 42809. doi:10.1371/journal.pcbi.1007326

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115