Publications

Dezecache, G., Grèzes, J. & Dahl, C. (2017). The nature and distribution of affiliative behaviour during exposure to mild threat. Royal Society open science, 4(8), 170265. doi:10.1098/rsos.170265

Dezecache, G. & Dunbar, R. (2012). Sharing the joke: the size of natural laughter groups. Evolution and Human Behavior, 33(6), 775-779

Dezecache, G., Wilke, C., Richi, N., Neumann, C. & Zuberbühler, K. (2017). Skin temperature and reproductive condition in wild female chimpanzees. PeerJ, 5, e4116. doi:10.7717/peerj.4116

Dezecache, G., Zuberbühler, K., Davila-Ross, M. & Dahl, C. (2017). Skin temperature changes in wild chimpanzees upon hearing vocalizations of conspecifics. Royal Society open science, 4(1), 160816. doi:10.1098/rsos.160816

Dezecache, G. (2015). Human collective reactions to threat. Wiley interdisciplinary reviews. Cognitive science, 6(3), 209-19. doi:10.1002/wcs.1344

Dezecache, G., Mercier, H. & Scott-Philips Thomas, C. (2013). An evolutionary approach to emotional communication. Journal of Pragmatics, 59, 221-233. doi:10.1016/j.pragma.2013.06.007

Dezecache, G. (2009). Phénoménologie Et Sciences Cognitives : Une Psychologie du Cognitiviste ?. Compte-Rendu de : Albino Lanciani, Phénoménologie Et Sciences Cognitives, Beauvais, Mémoires des Annales de Phénoménologie, 2003, 130 Pages. Methodos [En ligne], 9

Dezecache, G., Conty, L. & Grèzes, J. (2013). Social affordances: is the mirror neuron system involved? The Behavioral and brain sciences, 36(4), 417-8. doi:10.1017/S0140525X12001872

Dezecache, G., Conty, L., Chadwick, M., Philip, L., Soussignan, R., Sperber, D. & Grèzes, J. (2013). Evidence for unintentional emotional contagion beyond dyads. PloS one, 8(6), e67371. doi:10.1371/journal.pone.0067371

Di Volo, M., Morozova, E., Lapish, C., Kuznetsov, A. & Gutkin, B. (2018). Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release. European Journal of Neuroscience, Special issue article. doi:10.1111/ejn.14147

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

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

Dumont, G. & Gutkin, B. (2019). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLOS Computational Biology . doi:10.1371/journal.pcbi.1007019

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691

Enguehard, E. & Spector, B. (2021). Explaining gaps in the logical lexicon of natural languages: A decision-theoretic perspective on the square of Aristotle. Semantics and Pragmatics, 14(5). doi:10.3765/sp.14.5

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

Fisher, M., Knobe, J., Strickland, B. & Keil, F. (2017). The Influence of Social Interaction on Intuitions of Objectivity and Subjectivity. Cognitive science, 41(4), 1119-1134. doi:10.1111/cogs.12380

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

Fox, D. & Spector, B. (2018). Economy and embedded exhaustification. Natural Language Semantics, 26(1), 1-50. doi:10.1007/s11050-017-9139-6

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

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

Graupner, M. & Gutkin, B. (2009). Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms. Acta Pharmacologica Sinica, 30(6), 681-693. doi:10.1038/aps.2009.87

Grèzes, J., Philip, L., Chadwick, M., Dezecache, G., Soussignan, R. & Conty, L. (2013). Self-relevance appraisal influences facial reactions to emotional body expressions. PLoS ONE, 8(2). doi:10.1371/journal.pone.0055885

Grèzes, J. & Dezecache, G. (2014). How do shared-representations and emotional processes cooperate in response to social threat signals? Neuropsychologia, 55, 105-14. doi:10.1016/j.neuropsychologia.2013.09.019

Grèzes, J., Philip, L., Chadwick, M., Dezecache, G., Soussignan, R. & Conty, L. (2013). Self-relevance appraisal influences facial reactions to emotional body expressions. PloS one, 8(2), e55885. doi:10.1371/journal.pone.0055885

Gruber, A., Dayan, P., Gutkin, B. & Solla, S. (2006). Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of Computational Neuroscience, 20(2), 153-166. doi:10.1007/s10827-005-5705-x