Publications

Cauté, M., Chemla, E. & Schlenker, P. (2024). Inconsistent effects of components as evidence for non-compositionality in chimpanzee face-gesture combinations? A response to Oña et al (2019) PeerJ, 12, e16800 . doi:10.7717/peerj.16800

Schlenker, P., Coye, C. , Leroux, M. & Chemla, E. (2023). The ABC-D of animal linguistics: are syntax and compositionality for real? Biological reviews of the Cambridge Philosophical Society, 98(4), 1142-1159. doi:10.1111/brv.12944

Schlenker, P., Coye, C. , Steinert{-}threlkeld, S., Klinedinst, N. & Chemla, E. (2022). Beyond Anthropocentrism in Comparative Cognition: Recentering Animal Linguistics. Cognitive Science, 46(12), e13220 . doi:10.1111/cogs.13220

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

Marie, A. , Yesilaltay , S. & Strickland, B. (2020). The cognitive foundations of misinformation on science - What we know and what scientists can do about it. EMBO Rep , 21(4), e50205. doi:10.15252/embr.202050205

Dieuleveut, A., Chemla, E. & Spector, B. (2019 ). Distinctions between primary and secondary scalar implicatures. Journal of Memory and Language, 106, 150-171. doi:10.1016/j.jml.2019.02.008

Tieu, L., Schlenker, P. & Chemla, E. (2019). Linguistic inferences without words. Proceedings of the National Academy of Sciences of the United States of America , 116(20), 9796-9801. doi:10.1073/pnas.1821018116

Maldonado, M., Chemla, E. & Spector, B. (2019). Revealing abstract semantic mechanisms through priming: The distributive/collective contrast. Cognition, 182, 171-176. doi:10.1016/j.cognition.2018.09.009

Strickland, B. & Chemla, E. (2018). Cross-linguistic regularities and learner biases reflect "core" mechanics. PloS one, 13(1), e0184132. doi:10.1371/journal.pone.0184132

Schlenker, P. & Chemla, E. (2018). Gestural agreement. Natural Language & , 36(2), 587-625. doi:10.1007/s11049-017-9378-8

Tieu, L., Pasternak , R., Schlenker, P. & Chemla, E. (2018). Co-speech gesture projection: Evidence from inferential judgments. Glossa: a journal of general linguistics , 3(1), 109. doi:10.5334/gjgl.580

Schlenker, P. & Chemla, E. (2017). Gestural agreement. Natural Language & Linguistic Theory, 36(2), 587–625. doi:10.1007/s11049-017-9378-8

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

Tieu, L., Pasternak , R., Schlenker, P. & Chemla, E. (2017). Co-speech gesture projection: Evidence from truth-value judgment and picture selection tasks. Glossa, 2, 102. doi:10.5334/gjgl.334

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

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

Schlenker, P., Chemla, E., Schel, A., Fuller, J., Gautier, J., Kuhn, J., Veselinović, D., Arnold, K., Cäsar, C., Keenan, S., Lemasson, A., Ouattara, K., Ryder, R. & Zuberbühler, K. (2016). Formal monkey linguistics: The debate. Theoretical Linguistics, 42(1-2), 173-201. doi:10.1515/tl-2016-0010

Versteegh, M., Kuhn, J., Synnaeve, G., Ravaux, L., Chemla, E., Cäsar, C., Fuller, J., Murphy, D., Schel, A. & Dunbar, E. (2016). Classification and automatic transcription of primate calls. The Journal of the Acoustical Society of America, 140(1), EL26. doi:10.1121/1.4954887

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

Schlenker, P., Chemla, E., Schel, A., Fuller, J., Gautier, J., Kuhn, J., Veselinović, D., Arnold, K., Cäsar, C., Keenan, S., Lemasson, A., Ouattara, K., Ryder, R. & Zuberbühler, K. (2016). Formal monkey linguistics. Theoretical Linguistics, 42(1-2), 1-90. doi:10.1515/tl-2016-0001

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

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

Strickland, B., Geraci, C., Chemla, E., Schlenker, P., Kelepir, M. & Pfau, R. (2015). Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases. Proceedings of the National Academy of Sciences of the United States of America, 112(19), 5968-73. doi:10.1073/pnas.1423080112

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

Oster, A., Faure, P. & Gutkin, B. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience, 9, 95. doi:10.3389/fncom.2015.00095

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

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

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

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811