Publications

Dautriche, I., Chemla, E. & Christophe, A. (2016). Word Learning: Homophony and the Distribution of Learning Exemplars. Language Learning and Development, 12(3), 231-251. doi:10.1080/15475441.2015.1127163

Dautriche, I. & Chemla, E. (2016 ). What Homophones Say about Words. PLOS ONE, 11(9), 1-2. doi:10.1371/journal.pone.0162176

Branchini, C., Cardinaletti, A., Cecchetto, C., Donati, C. & Geraci, C. (2015). WH-duplication in Italian Sign Language (LIS) , 39–70John Benjamins Publishing Company. doi:10.1075/bct.71.03bra

Schlenker, P. (2018). Visible Meaning: Sign language and the foundations of semantics. Theoretical Linguistics, 44(3-4), 123-208. doi:10.1515/tl-2018-0012

Aristodemo, V. & Geraci, C. (2017). Visible degrees in Italian Sign Language. Natural Language {&} Linguistic Theory, -(on line). doi:10.1007/s11049-017-9389-5

Geraci, C., Bayley, R., Cardinaletti, A., Cecchetto, C. & Donati, C. (2015). Variation in Italian Sign Language (LIS): The case of wh -signs. Linguistics, 53(1), 125–151. doi:10.1515/ling-2014-0031

Križ, M. & Chemla, E. (). Two Methods to Find Truth-Value Gaps and Their Application to the Projection Problem of Homogeneity. Natural Language Semantics, 23(3), 205–248

Chemla, E. & Singh, R. (2017). Training and timing local scalar enrichments under global pragmatic pressures. Journal of Semantics, 34(1), 107-126. doi:10.1093/jos/ffw006

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

Cecchetto, C., Checchetto, A., Geraci, C., Santoro, M. & Zucchi, S. (2015). The syntax of predicate ellipsis in Italian Sign Language (LIS) Lingua, 166, 214–235. doi:10.1016/j.lingua.2014.12.011

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

Turnbull, R. & Peperkamp, S. (2017). The asymmetric contribution of consonants and vowels to phonological similarity: Evidence from lexical priming. The Mental Lexicon, 12, 404-430. doi:10.1075/ ml .17010.tur

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

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

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

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

Nicolas, D. & Linnebo, Ø. (2008). Superplurals in English. Analysis, 68(3), 186-197. doi:10.1093/analys/68.3.186

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

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Geraci, C. (2014). Spatial syntax in your hands. , 1, 123–134

Cattaneo, Z., Rinaldi, L., Geraci, C., Cecchetto, C. & Papagno, C. (2018). Spatial biases in deaf, blind, and deafblind individuals as revealed by a haptic line bisection task. Quarterly journal of experimental psychology, 1–9. doi:10.1177/1747021817741288

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Dubreuil, A. (2019). Short term memory properties of sensory neural architectures. Journal of Computational Neuroscience volume, 46, 321–332. doi:10.1007/s10827-019-00720-w

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

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

Abrusan, M. (2019). Semantic Anomaly, Pragmatic Infelicity, and Ungrammaticality. Annual Review of Linguistics 2019, 5(1), 329-351. doi:10.1146/annurev-linguistics-011718-011938

Marty, P. & Chemla, E. (2013). Scalar implicatures: working memory and a comparison with only. Frontiers in psychology, 4, 403. doi:10.3389/fpsyg.2013.00403

Novikov, N. & Gutkin, B. (2020). Role of synaptic nonlinearity in persistent firing rate shifts caused by external periodic forcing. PHYSICAL REVIEW E, 101(5), 052408. doi:10.1103/PhysRevE.101.052408

Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609