Publications

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

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

Cimesa, L., Ciric, L. & Ostojic, S. (2023). Geometry of population activity in spiking networks with low-rank structure. PLoS computational biology, 19(8), e1011315. doi:10.1371/journal.pcbi.1011315

Beiran, M., Meirhaeghe, N., Sohn, H., Jazayeri, M. & Ostojic, S. (2023). Parametric control of flexible timing through low-dimensional neural manifolds. Neuron, 111(5), 739-753.e8. doi:10.1016/j.neuron.2022.12.016

Molano-Mazón, M., Shao, Y., Duque, D., Robert Yang, G., Ostojic, S. & De La Rocha, J. (2023). Recurrent networks endowed with structural priors explain suboptimal animal behavior. Current biology : CB, 33(4), 622-638.e7. doi:10.1016/j.cub.2022.12.044

Shao, Y. & Ostojic, S. (2023). Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks. PLoS computational biology, 19(1), e1010855. doi:10.1371/journal.pcbi.1010855

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

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

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

Schlenker, P., Coye, C. , Steinert{-}threlkeld, S., Klinedinst, N. & Chemla, E. (2022). Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. Cognitive Science, 46(12), e13220 . doi:10.1111/cogs.13220

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 , 32, 101101. doi:10.1063/5.0117845

Barbosa, J., Babushkin, V. , Temudo, A. , Sreenivasan, K. & Compte, A. (2021). Across-Area Synchronization Supports Feature Integration in a Biophysical Network Model of Working Memory. Front. Neural Circuits. doi:10.3389/fncir.2021.716965

Stein, H., Barbosa, J. & Compte, A. (2021). Towards biologically constrained attractor models of schizophrenia. Current Opinion in Neurobiology, 70, 171-181. doi:10.1016/j.conb.2021.10.013

Joao, B., Lozano-Soldevilla, D. & Compte, A. (2021). Pinging the brain with visual impulses reveals electrically active, not activity-silent, working memories. PLOS Biology, 20(3), e3001603. doi:10.1371/journal.pbio.3001436

Barbosa, J., Stein, H., Zorowitz, S. , Niv, Y. , Summerfield, C., Soto-Faraco, S. & Hyafil, A. (2022). A practical guide for studying human behavior in the lab. Behavior Research Methods. doi:10.3758/s13428-022-01793-9

Jazayeri, M. & Ostojic, S. (2021). Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity. Current Opinion in Neurobiology, 70, 113-120. doi:10.1016/j.conb.2021.08.002

Dubreuil, A., Valente, A., Beiran, M., Mastrogiuseppe, F. & Ostojic, S. (2022). The role of population structure in computations through neural dynamics. Nature Neuroscience, 25, 783–794. doi:10.1038/s41593-022-01088-4

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Multistability of coherent states in ring networks of type II neurons with asymmetrical nonlocal inhibitory connectivity. Journal of Computational Neuroscience. doi:10.1016/j.chaos.2021.111541

Completo Guerreiro, I., Gu, Z., Yakel, J. & Gutkin, B. (2022). Recurring Cholinergic Inputs Induce Local Hippocampal Plasticity through Feedforward Disinhibition. eNeuro. doi:10.1523/ENEURO.0389-21.2022

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Bai, D., Falck, A. & Strickland, B. (2021). The adult visual system resists learning continuity violations. Journal of vision, 21, 2590. doi:10.1167/jov.21.9.2590

Falck, A. & Strickland, B. (2021). Gaze following and mental state attribution: the agent’s line of sight moderates the gaze cueing effect. Journal of Vision, 21(9), 2569-2569. doi:10.1167/jov.21.9.2569

Cova, F., Strickland, B., Abatista, A., Allard, A. , Andow, J., Attie, M., Beebe, J., Berniūnas, R., Boudesseul, J., Colombo, M., Cushman, F., Diaz, R., N’djaye Nikolai Van Dongen, N., Dranseika, V., Earp, B., Torres, A. , Hannikainen, I., Hernández-Conde, J., Hu, W., Jaquet, F., Khalifa, K., Kim, H., Kneer, M., Knobe, J., Kurthy, M., Lantian, A., Liao, S., Machery, E., Moerenhout, T., Mott, C., Phelan, M., Phillips, J., Rambharose, N., Reuter, K., Romero, F., Sousa, P., Sprenger, J. , Thalabard, E., Tobia, K., Viciana, H. , Wilkenfeld, D. & Zhou, X. (2021). Estimating the Reproducibility of Experimental Philosophy. Review of Philosophy and Psychology, 12(1), 9-44. doi:10.1007/s13164-018-0400-9