Publications

Gout, A., Christophe, A. & Dupoux, E. (2002 ). Testing Infants' Discrimination With the Orientation Latency Procedure. Infancy, 3(2), 249-259. doi:10.1207/S15327078IN0302_8

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

Bernal, S., Lidz, J., Millotte, S. & Christophe, A. (2007). Syntax constrains the acquisition of verb meaning. Language Learning and Development, 3, 325-341

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

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Fort, M., Lammertink, I., Peperkamp, S., Guevara Rukoz, A., Fikkert, P. & Tsuji, S. (2018). Symbouki: a meta-analysis on the emergence of sound symbolism in early language acquisition. Developmental Science, 21, e12659. doi:10.1111/desc.12659

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

de Carvalho, A., Babineau, M., Trueswell, J. , R. Waxman, S. & Christophe, A. (2019). Studying the real-time interpretation of novel noun and verb meanings in young children. Frontiers in Psychology, 10, 274. doi:10.3389/fpsyg.2019.00274

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

Zuberbühler, K., Chemla, E. & Schlenker, P. (2021). Stereotyped vocalizations. Encyclopedia of Evolutionary Psychological Science (pp. 7970-7974).Springer. doi:10.1007/978-3-319-16999-6_3330-1

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

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

Martin, A. & Peperkamp, S. (2011). Speech perception and phonology. In M. van Oostendorp, C. Ewen, E. Hume & K. Rice (Eds.), Companion to Phonology. Volume IV. (pp. 2234-2256). Hoboken, N.J.: Wiley-Blackwell

Guevara-Rukoz, A. , Yu, S. & Peperkamp, S. (2021). Speech perception and loanword adaptations: the case of copy-vowel epenthesis. In Proceedings of INTERSPEECH, Brno, Czech Republic.

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

Makin, T. & de Vignemont, F. (2020). Soft Embodiment for Engineering Artificial. Trends in Cognitive, 4(12), 965-968. doi:10.1016/j.tics.2020.09.008

Cristia, A., Mielke, J., Daland, R. & Peperkamp, S. (2013). Similarity in the generalization of implicitly learned sound patterns. Laboratory Phonology, 4(2), 259-285. doi:10.1515/lp-2013-0010

Peperkamp, S. & Mehler, J. (1999). Signed and spoken language: A unique underlying system? Language and Speech, 42, 333-346. doi:10.1177/00238309990420020901

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

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

Longo, M., Rajapakse , S., Alsmith, A. & Ferre , F. (2020). Shared contributions of the head and torso to spatial reference frames across spatial judgments. Cognition, .

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

Schlenker, P., Chemla, E. & Zuberbühler, K. (2017). Semantics and Pragmatics of Monkey Communication. In Mark Aronoff (Eds.), Oxford Research Encyclopedia of LinguisticsNew York: Oxford University Press. doi:10.1093/acrefore/9780199384655.013.220

van der Veer, A. , Longo, M. , Alsmith, A., Wong, H. & Mohler, B. (2019). Self and body part localization in virtual reality: Comparing a headset and a large-screen immersive display. Frontiers in Robotics and AI, 6, 33. doi:10.3389/frobt.2019.00033

de Vignemont, F. (2018). Schéma corporel et image corporelle. In De Boeck/Solal (Eds.), Manuel de psychomotricité

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

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

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