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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
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Arcangeli, M. & Dokic, J. (2020). A plea for the Sublime in science. In S. French & M. Ivanova (Eds.), The Aesthetics of Science: Beauty, Imagination and Understanding (Routledge ed., pp. 104-124). doi:10.4324/9780429030284-6
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Casati, R. & Tonello, F. (2018). Voto elettronico e partecipazione democratica. Web e società democratica (pp. 3-15). Turin: Accademia University Press
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Casati, R. (2018). Shadows, objects and the lexicon: On some lexicalized and non-lexicalized concepts of shadow and light. In C. Mac Cumhaill, Thomas Crowther (Eds.), Perceptual Ephemera Oxford: OUP. doi:10.1080/13875868.2017.1377204
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Cremers, A. & Chemla, E. (2017). Probability Judgments of Gappy Sentences. In Pistoia-Reda, Salvatore and Filippo Domaneschi (Eds.), Linguistic and Psycholinguistic Approaches on Implicatures and Presuppositions (pp. 111-150).Palgrave
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Fortier, M. & Kim, S. (2017). From the impossible to the improbable: A probabilistic account of magical beliefs and practices across development and cultures. In C. Zedelius, B. Müller & J. Schooler (Eds.), The science of lay theories: How beliefs shape our cognition, behavior, and health (pp. 265-315). New York: Springer
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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
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Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).
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Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).
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Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer
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Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer
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Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer
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Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)
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Pacherie, E. (2012). The Phenomenology of Joint Action: Self-Agency Vs. Joint-Agency . (pp. 343-389).