Publications

Schlenker, P., Chemla, E. & Zuberbühler, K. (2016). What Do Monkey Calls Mean? Trends in cognitive sciences, 20(12), 894-904. doi:10.1016/j.tics.2016.10.004

Ladenbauer, J. & Obermayer, K. (2019). Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. PLOS Computational Biology, 15(4), e1006974. doi:10.1371/journal.pcbi.1006974

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

Schlenker, P., Chemla, E., Cäsar, C., Zuberbühler, K. & Ryder, R. (2017). Titi semantics: Context and meaning in Titi monkey call sequences. Natural Language and Linguistic Theory, 35(1), 271-298. doi:10.1007/s11049-016-9337-9

Giavazzi, M., Daland, R., Palminteri, S., Peperkamp, S., Brugières, P., Jacquemot, C., Schramm, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2018 ). The role of the striatum in linguistic selection: Evidence from Huntington’s disease and computational modeling. Cortex, 109, 189-204. doi:10.1016/j.cortex.2018.08.031

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

O'Madagain, C., Kachel , G. & Strickland, B. (2019). The Origin of Pointing: Evidence for the Touch Hypothesis. Science Advances, 5(7), eaav2558. doi:10.1126/sciadv.aav2558

O'Madagain, C., Kachel , G. & Strickland, B. (2019). The origin of pointing: Evidence for the touch hypothesis. Science Advances, 5(7), eaav2558. doi:10.1126/sciadv.aav2558

King, J. & Wyart, V. (2021). The Human Brain Encodes a Chronicle of Visual Events at each Instant of Time thanks to the Multiplexing of Traveling Waves. Journal of Neuroscience, 41(34), 7224-7233. doi:10.1523/JNEUROSCI.2098-20.2021

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

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

Chemla, E. & Egré, P. (2019). Suszko's problem: mixed consequence and compositionality. Review of Symbolic Logic, 12(4), 736-767. doi:10.1017/S1755020318000503

Graves, J. & Oxenham, A. (2019). Spectral and temporal models of human pitch perception with mixtures of three concurrent harmonic complexes. The Journal of the Acoustical Society of America, 145(3), 1784-1784. doi:10.1121/1.5101525

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

Kim , K., Ladenbauer, J., Babo-Rebelo, M., Buot, A., Kehongre , K., Adam, C., Hasboun, D., Lambrecq , V., Navarro , V., Ostojic, S. & Tallon-Baudry, C. (2019 ). Resting-state neural firing is linked to cardiac cycle duration in the human cingulate and parahippocampal cortices. Journal of Neuroscience , 39(19), 3676-3686. doi:10.1523/JNEUROSCI.2291-18.2019

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

Steinert-Threlkeld, S., Schlenker, P. & Chemla, E. (2021). Referential and general calls in primate semantics. Linguistics and Philosophy , 44, 1317-1342. doi:10.1007/s10988-021-09322-1

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

Denic, M. & Chemla, E. (2020). Quantifier Spreading in Child Language as Distributive Inferences. Linguistic Inquiry, 51(1), 1-21. doi:10.1162/ling_a_00340

Schlenker, P., Chemla, E., Arnold, K. & Zuberbühler, K. (2016). Pyow-hack revisited: Two analyses of putty-nosed monkey alarm calls. Lingua, 171, 1-23. doi:10.1016/j.lingua.2015.10.002

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

Maldonado, M., Chemla, E. & Spector, B. (2017). Priming plural ambiguities. Journal of Memory and Language, 95, 89-101. doi:10.1016/j.jml.2017.02.002

Maldonado, M., Spector, B. & Chemla, E. (2017). Priming methods in semantics and pragmatics. Behavioral and Brain Sciences, 40. doi:10.1017/S0140525X17000516

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2021). Predictive learning as a network mechanism for extracting low-dimensional latent space representations. Nature Communications, 12(1417). doi:10.1038/s41467-021-21696-1

Chemla, E., Egré, P. & Schlenker, P. (2015). Predicting Moral Judgments From Causal Judgments . Philosophical Psychology, 28(1), 21–48. doi:10.1080/09515089.2013.863145

Gutierrez, G. & Denève, S. (2018). Population adaptation in efficient balanced networks. eLife, 8, e46926. doi:10.7554/eLife.46926

Graves, J. & Oxenham, A. (2019). Pitch discrimination with mixtures of three concurrent harmonic complexes. The Journal of the Acoustical Society of America, 145(4), 2072-2083. doi:10.1121/1.5096639

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

Marty, P., Chemla, E. & Spector, B. (2015). Phantom readings: the case of modified numerals. Language, Cognition and Neuroscience, 30(4), 462-477. doi:10.1080/23273798.2014.931592

Martin, J., Dezecache, G., Pressnitzer, D., Nuss, P., Dokic, J., Bruno, N., Pacherie, E. & Franck, N. (2014). Perceptual hysteresis as a marker of perceptual inflexibility in schizophrenia. Consciousness and cognition, 30, 62-72. doi:10.1016/j.concog.2014.07.014