Publications

Bernard, M., Thiollière, R., Saksida, A., Loukatou, G., Larsen, E., Johnson, M., Fibla, L., Dupoux, E., Daland, R., Cao, X. & Cristia, A. (2020). WordSeg: Standardizing unsupervised word form segmentation from text. Behavior research methods, 52(1), 264-278. doi:10.3758/s13428-019-01223-3

Bavard, S. & Palminteri, S. (2021). Why unchosen options linger in our minds. Communications Biology , 4, 1271. doi:10.1038/s42003-021-02803-w

Seidl, A., Cristia, A., Baker, C. & Tincoff, R. (2015). Why the body comes first: effects of experimenter touch on infants' word finding. Developmental Science, 18(1), 155-164. doi:10.1111/desc.12182

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

Cristia, A., Gautheron, L. & Colleran, H. (2023). Vocal input and output among infants in a multilingual context: Evidence from long-form recordings in Vanuatu. Developmental science, e13375. doi:10.1111/desc.13375

Cychosz, M. & Cristia, A. (2022). Using big data from long-form recordings to study development and optimize societal impact. Advances in child development and behavior, 62, 1-36. doi:10.1016/bs.acdb.2021.12.001

Ostojic, S., Vlugt, T. & Nienhuis, B. (2007). Universal anisotropy in force networks under shear. Physical Review E, 75(3 Pt 1), 030301. doi:10.1103/PhysRevE.75.030301

Ostojic, S. (2014). Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nature Neuroscience, 17(4), 594-600. doi:10.1038/nn.3658

Bavard, S., Rustichini, A. & Palminteri, S. (2021). Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning. Science Advances, 7(14). doi:10.1126/sciadv.abe0340

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

Schmale, R., Cristia, A. & Seidl, A. (2012). Toddlers recognize words in an unfamiliar accent after brief exposure. Developmental Science, 15(6), 732-738. doi:10.1111/j.1467-7687.2012.01175.x

Tsuji, S., Fiévet, A. & Cristia, A. (2021). Toddler word learning from contingent screens with and without human presence. Infant Behavior and Development , 63, 101553. doi:10.1016/j.infbeh.2021.101553

Blot, A., De Solages, C., Ostojic, S., Szapiro, G., Hakim, V. & Léna, C. (2016). Time-invariant feed-forward inhibition of Purkinje cells in the cerebellar cortex in vivo. The Journal of physiology, 594(10), 2729-49. doi:10.1113/JP271518

Cavanagh, P., Casati, R. & Elder , J. (2018). Tight shadows shrink depth. Journal of Vision, 18, 493. doi:10.1167/18.10.493

Arcangeli, M. (2019). The Two Faces of Mental Imagery. Philosophy and Phenomenological Research

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

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The role of counterfactual information on outcome value coding in mPFC and cingulate cortex: from an absolute to an adaptive neural code. . The Journal of Neuroscience, 40 (16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Tsuji, S., Fikkert, P., Minagawa-Kawai, Y., Dupoux, E., Filippin, L., Versteegh, M., Hagoort, P. & Cristia, A. (2017). The more, the better? Behavioral and neural correlates of frequent and infrequent vowel exposure. Developmental Psychobiology, 59(5), 603-612. doi:10.1002/dev.21534

Fernandez-Velasco, P. & Casati, R. (2020). The many faces of disorientation: a response to Daniel R. Montello. Spatial Cognition & Computation , 20(4), 314-327. doi:10.1080/13875868.2020.1772267

E. Santos, P. , Cabalar, P. & Casati, R. (2019). The knowledge of knots: an interdisciplinary literature review. Spatial Cognition & Computation , 19(4), 334-358. doi:10.1080/13875868.2019.1667998

Palminteri, S., Wyart, V. & Koechlin, E. (2017). The Importance of Falsification in Computational Cognitive Modeling. Trends in Cognitive Sciences, 21(6), 425-433. doi:10.1016/j.tics.2017.03.011

Cristia, A. & Seidl, A. (2014). The hyperarticulation hypothesis of infant-directed speech. Journal of Child Language, 41(4), 913-934. doi:10.1017/S0305000912000669

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

Havron, N., Ramus, F., Heude, B., Forhan, A., Cristia, A. & Peyre, H. (2019). The effect of siblings on language development as a function of age difference and sex. Psychological Science, 30(9), 1333-1343. doi:10.31234/osf.io/fgpmd

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Phil. Trans. R. Soc. B, 376, 20190665. doi:10.1098/rstb.2019.0665

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical transactions of the royal society B, 376(1819). doi:10.1098/rstb.2019.0665

Arcangeli, M. (2021). The conceptual nature of imaginative content. Synthese, 199(1-2), 3189-3205. doi:10.1007/s11229-020-02930-7

Palminteri, S. & Maël, L. (2022). The computational roots of positivity and confirmation biases in reinforcement-learning. Trends in Cognitive Sciences, 26(7), 607-621. doi:10.1016/j.tics.2022.04.005