Publications

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

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

Farrell, H. , Mercier, H. & Schwartzberg, M. (2022). Analytical Democratic Theory: A Microfoundational Approach. American Political Science Review. doi:10.1017/S0003055422000715

Ueshima, A., Mercier, H. & Kameda, T. (2021). Social deliberation systematically shifts resource allocation decisions by focusing on the fate of the least well-off. Journal of Experimental Social Psychology, 92, 104067 . doi:10.1016/j.jesp.2020.104067

Yesilaltay , S., Hacquin, A., Chevallier, C. & Mercier, H. (2021). Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. Journal of Experimental Psychology: Applied. doi:10.1037/xap0000400

Mercier, H. & Sperber, D. (2021). L'Énigme de la raison.

Mercier, H., Dockendorff, M. , Majima, Y. , Hacquin, A. & Schwartzberg, M. (2021). Intuitions about the epistemic virtues of majority voting. Thinking & Reasoning , 27(3), 445-463. doi:10.1080/13546783.2020.1857306

Mercier, H., Yesilaltay , S. & Hacquin, A. (2022). Why do so few people share fake news? It hurts their reputation. , 24(6), 1303-1324. doi:10.1177/1461444820969893

Mercier, H. & Claidière, N. (2022). Does discussion make crowds any wiser? Cognition, 22, 104912. doi:10.1016/j.cognition.2021.104912

Yesilaltay , S., De Araujo, E. & Mercier, H. (2022). “If this account is true, it is most enormously wonderful”: Interestingness-if-true and the sharing of true and false news. Digital Journalism, 10(3), 373-394. doi:10.1080/21670811.2021.1941163

Yesilaltay , S., Schwartz, M., Hacquin, A., Allard, A. , Mercier, H. & Blancke, S. (2022). Scaling up interactive argumentation by providing counterarguments with a chatbot. Nature Human Behaviour, 6(4), 579-592. doi:10.1038/s41562-021-01271-w

Valente, A., Ostojic, S. & Pillow, J. (2022). Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models. Neural Computation, 1-22. doi:10.1162/neco_a_01522

Hacquin, A., Yesilaltay , S., Aaroe, L. & Mercier, H. (2022). Disgust sensitivity and public opinion on nuclear energy. Journal of Environmental Psychology, 80(101749). doi:10.1016/j.jenvp.2021.101749

Acerbi , A., Yesilaltay , S. & Mercier, H. (2022). Research note: Fighting misinformation or fighting for information? Harvard Kennedy School (HKS) Misinformation Review, 3(1), 1-15. doi:10.37016/mr-2020-87

De Araujo, E. , Yesilaltay , S., Bor, A. & Mercier, H. (2021). Dominant Jerks: People Infer Dominance From the Utterance of Challenging and Offensive Statements. Social Psychological Bulletin, 16(4), e6999. doi:10.32872/spb.6999

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

Bagur, S. , Averseng, M., Elgueda, D., David, S., Fritz, J., Yin, P., Shamma, S., Boubenec, Y. & Ostojic, S. (2018). Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex. Nature Communications, 9, 2529 . doi:10.1038/s41467-018-04839-9

Beiran, M., Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2021). Shaping dynamics with multiple populations in low-rank recurrent networks. Neural Computation, 33(6), 1572-1615. doi:10.1162/neco_a_01381 Article history

Beiran, M. & Ostojic, S. (2019). Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks . PLoS Computational Biology, 15(3), e1006893. doi:10.1371/journal.pcbi.1006893

Bimbard, C., Ledoux, E. & Ostojic, S. (2016). Instability to a heterogeneous oscillatory state in randomly connected recurrent networks with delayed interactions. Physical review. E, 94(6-1), 062207. doi:10.1103/PhysRevE.94.062207

Bondanelli, G. & Ostojic, S. (2020). Coding with transient trajectories in recurrent neural networks. PLoS Computational Biology, 16 (2), e1007655. doi:10.1371/journal.pcbi.1007655

Bouchacourt, F., Palminteri, S., Koechlin, E. & Ostojic, S. (2020). Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife, 9, e50469. doi:10.7554/eLife.50469