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

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Signatures of task learning in neural representations, Current Opinion in Neurobiology,, 83, 102759. doi:10.1016/j.conb.2023.102759

Schlenker, P. (2022). What It All Means. The MIT Press

Cremers, A., Wilcox, E. & Spector, B. (2023). Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs. Cognitive Science, 47(5), e13286. doi:https://onlinelibrary.wiley.com/doi/epdf/10.1111/cogs.13286

Recht, S. , Mamassian, P. & de Gardelle, V. (2023). Metacognition tracks sensitivity following involuntary shifts of visual attention. Psychonomic bulletin & review, 30(3), 1136-1147. doi:10.3758/s13423-022-02212-y

Klever, L. , Christin Beyvers, M., Fiehler, K., Mamassian, P. & Billino, J. (2023). Cross-modal metacognition: Visual and tactile confidence share a common scale. Journal of vision, 23(5), 3. doi:10.1167/jov.23.5.3

Lunghi, C. & Pooresmaeili, A. (2023). Learned value modulates the access to visual awareness during continuous flash suppression. Scientific reports, 13(1), 756. doi:10.1038/s41598-023-28004-5

Acquafredda, M., D Sarı, İ., Steinwurzel, C., Lunghi, C. & Binda, P. (2023). Measuring the reliability of binocular rivalry. Journal of vision, 23(10), 5. doi:10.1167/jov.23.10.5

Prosper, A., Pasqualetti, M., Concetta Morrone, M. & Lunghi, C. (2023). The duration effect of short-term monocular deprivation measured by binocular rivalry and binocular combination. Vision research, 211, 108278. doi:10.1016/j.visres.2023.108278

Millet, J., Caucheteux, C. , Boubenec, Y., Gramfort, A., Dunbar, E., Pallier, C. & King, J. (2022). Toward a realistic model of speech processing in the brain with self-supervised learning. , Vol. 35: In 36th Conference on Neural Information Processing Systems, 33428-33443.

Lawlor, J., Zagala, A., Jamali, S. & Boubenec, Y. (2023). Pupillary dynamics reflect the impact of temporal expectation on detection strategy. iScience, 26, 106000. doi:10.1016/j.isci.2023.106000

Schlenker, P., Coye, C. , Leroux, M. & Chemla, E. (2023). The ABC-D of animal linguistics: are syntax and compositionality for real? Biological reviews of the Cambridge Philosophical Society, 98(4), 1142-1159. doi:10.1111/brv.12944

Palminteri, S. (2023). Choice-confirmation bias and gradual perseveration in human reinforcement learning. Behavioral neuroscience, 137(1), 78-88. doi:10.1037/bne0000541

Bavard, S. & Palminteri, S. (2023). The functional form of value normalization in human reinforcement learning. eLife, 12, e83891. doi:10.7554/eLife.83891

Vandendriessche, H. & Palminteri, S. (2023). Neurocognitive biases from the lab to real life. Communications biology, 6(1), 158. doi:10.1038/s42003-023-04544-4

Palminteri, S. & Cecchi, R. (2023). Objective models of subjective feelings. Neuroscience and biobehavioral reviews, 151, 105233. doi:10.1016/j.neubiorev.2023.105233

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2022). Multistability and evolution of chimera states in a network of type II Morris-Lecar neurons with asymmetrical nonlocal inhibitory connections. Chaos (Woodbury, N.Y.), 32(10), 101101. doi:10.1063/5.0117845

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Current opinion in neurobiology, 83, 102759. doi:10.1016/j.conb.2023.102759

Lunven, M., Hernandez Dominguez, K., Youssov, K., Hamet Bagnou, J., Fliss, R. , Vandendriessche, H., Bapst, B. , Morgado, G., Remy, P., Schubert, R. , Reilmann, R., Busse, M., Craufurd, D., Massart, R., Rosser, A. & Bachoud-Levi, A. (2023). A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington's disease. Brain communications, 5(2), fcad043. doi:10.1093/braincomms/fcad043

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva, J., Hertz, U., Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2023). Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide. Research square, . doi:10.21203/rs.3.rs-2621222/v1

Salem-Garcia, N., Palminteri, S. & Lebreton, M. (2023). Linking confidence biases to reinforcement-learning processes. Psychological review, . doi:10.1037/rev0000424

Bai, D. & Strickland, B. (2023). The Pulfrich solidity illusion: a surprising demonstration of the visual system’s tolerance of solidity violations. Psychon Bull Rev. doi:10.3758/s13423-023-02271-9

Schweitzer, R. , Watson, T. , Balsdon, T. & Rolfs, M. (2022). The sources of peri-saccadic mislocalization: Evidence from the perception of intra-saccadic motion streaks. Journal of vision, 22, 3997. doi:10.1167/jov.22.14.3897

Vacher, J. , Coen-Cagli, R. & Mamassian, P. (2022). Unifying Different Psychometric Methods : Theory and Experiment. Journal of Vision, 22, 3879. doi:10.1167/jov.22.14.3879

Schaffhauser, T., de Cheveigné, A., Boubenec, Y. & Mamassian, P. (2022). EEG evoked activity suggests amodal evidence integration in multisensory decision-making. Journal of vision, 22(3963). doi:10.1167/jov.22.14.3963

Mamassian, P. (2022). Reverse motion from reversed time perception? Journal of Vision, 22, 4095. doi:10.1167/jov.22.14.4095

Locke, S., Goettker, A. , Gegenfurtner, K. & Mamassian, P. (2022). Sensorimotor confidence for tracking eye movements. journal of Vision, 22(3500). doi:10.1167/jov.22.14.3500

Duriez, A., Bergerot, C., J Cone, J., F Roitman, M. & Gutkin, B. (2023). Homeostatic Reinforcement Theory Accounts for Sodium Appetitive State- and Taste-Dependent Dopamine Responding. Nutrients, 15(4), 1015. doi:10.3390/nu15041015

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792