Publications

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

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

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

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.

Chemla, E. & Spector, B. (2010 ). Experimental Detection of Embedded Implicatures. In Aloni, Maria and Bastiaanse, Harald and de Jager, Tikitu and Schulz, Katrin (Eds.), In Logic, Language and Meaning: 17th Amsterdam Colloquium, Amsterdam, The Netherlands, Springer Berlin Heidelberg, 53–62. doi:10.1007/978-3-642-14287-1_6

Chemla, E. & Schlenker, P. (2012). Incremental Vs. Symmetric Accounts of Presupposition Projection: An Experimental Approach. Natural Language Semantics, 20(2), 177–226 . doi:10.1007/s11050-012-9080-7

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

Chemla, E. & Spector, B. (2011). Experimental Evidence for Embedded Scalar Implicatures. Journal of Semantics, 28(3), 359-400. doi:10.1093/jos/ffq023

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

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

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

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

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

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

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

Linzen, T., Dupoux, E. & Spector, B. (2016). Quantificational features in distributional word representations. In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, pages 1 – 1-11. doi:10.18653/v1/S16-2001

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

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

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

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

Marty, P., Chemla, E. & Spector, B. (2013). Interpreting numerals and scalar items under memory load. Lingua, 133, 152 - 163. doi:https://doi.org/10.1016/j.lingua.2013.03.006