Publications

Spector, B. (2013). Bare Numerals and Scalar Implicatures. Linguistics and Language Compass, 7(5), 273-294. doi:10.1111/lnc3.12018

Schlenker, P. (2008). Be Articulate: A Pragmatic Theory of Presupposition Projection . Theoretical Linguistics, 34(3), 157–212. doi:10.1515/THLI.2008.013

Spector, B. (2012). Being simultaneously an {NPI} and a {PPI}: a bipolar item in {French. Snippets, 25

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

Strickland, B. & Mercier, H. (2014). Bias neglect: a blind spot in the evaluation of scientific results. Quarterly journal of experimental psychology (2006), 67(3), 570-80. doi:10.1080/17470218.2013.821510

Kuhn, J., Geraci, C., Schlenker, P. & Strickland, B. (2021). Boundaries in Space and Time: Iconic Biases Across Modalities . Cognition, 210, 104596. doi:10.1016/j.cognition.2021.104596

Kominsky, J., Strickland, B., Wertz, A., Elsner, C., Wynn, K. & Keil, F. (2017). Categories and Constraints in Causal Perception. Psychological science, 28(11), 1649-1662. doi:10.1177/0956797617719930

Kominsky, J. , Baker, L. , Keil Frank, C. & Strickland, B. (2021). Causality and continuity close the gaps in event representations. Memory and Cognition, 49, 518-531. doi:10.3758/s13421-020-01102-9

Lanore, F. , Cayco Gajic, A., Gurnani, H. , Coyle, D. & Angus Silver, R. (2021). Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience, 24, 1142-1150. doi:10.1038/s41593-021-00873-x

Rooy, M., Lazarevich, I. , Koukouli, F., Maskos, U. & Gutkin, B. (2021). Cholinergic modulation of hierarchical inhibitory control over cortical resting state dynamics: Local circuit modeling of schizophrenia-related hypofrontality. Current Research in Neurobiology, 2, 1000018. doi:10.1016/j.crneur.2021.100018

Stiefel, K., Gutkin, B. & Sejnowski, T. (2008). Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons. PLoS ONE, 3(12). doi:10.1371/journal.pone.0003947

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. (2003). Clausal Equations (A Note on the Connectivity Problem) Natural Language and Linguistic Theory, 21, 157-214. doi:10.1023/A:1021843427276

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

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

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

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

Commier, S. & Berthet, M. (2019). Commentary: Titi Semantics: Context and Meaning in Titi Monkey Call Sequences . Frontiers in Psychology, 10, 512. doi:10.3389/fpsyg.2019.00512

Spector, B. (2016). Comparing exhaustivity operators. Semantics and Pragmatics, 9(11). doi:10.3765/sp.9.11

Schlenker, P. (2012). Complement Set Anaphora and Structural Iconicity in ASL. Snippets(25), 15-17

Bobashev, G., Costenbader, E. & Gutkin, B. (2007). Comprehensive mathematical modeling in drug addiction sciences. Drug and Alcohol Dependence, 89(1), 102-106. doi:10.1016/j.drugalcdep.2006.12.029

Tegnér, J., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K., Thomas, R. & Villoslada, P. (2009). Computational disease modeling - Fact or fiction? BMC Systems Biology, 3. doi:10.1186/1752-0509-3-56

Zamani, A. , Novikov, N. & Gutkin, B. (2020). Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 82, 105024. doi:10.1016/j.cnsns.2019.105024

Schlenker, P. (2002). Conditionals as Definite Descriptions (A Referential Analysis) Journal of Language & Computation, 2(3), 417-462. doi:10.1007/s11168-004-0908-2

Schlenker, P. (2004). Context of Thought and Context of Utterance (A Note on Free Indirect Discourse and the Historical Present) Mind & Language, 19(3), 279-304. doi:10.1111/j.1468-0017.2004.00259.x

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

Morozova, E., Myroshnychenko, M., Zakharov, D., Di Volo, M., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology, 116(4), 1900-1923. doi:10.1152/jn.00232.2016

Dipoppa, M., Szwed, M. & Gutkin, B. (2016). Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Advances in cognitive psychology, 12(4), 209-232. doi:10.5709/acp-0199-x

Falck, A., Labouret, G., Izard, V., Wertz, A., Keil Frank, C. & Strickland, B. (2020). Core cognition in adult vision: A surprising discrepancy between the principles of object continuity and solidity. Journal of Experimental Psychology: General, 149(12), 2250–2263. doi:10.1037/xge0000785

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