Publications

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, .

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

Keramati, M., Ahmed, S. & Gutkin, B. (2017). Misdeed of the need: towards computational accounts of transition to addiction. Current opinion in neurobiology, 46, 142-153. doi:10.1016/j.conb.2017.08.014

King, J. & Wyart, V. (2021). The Human Brain Encodes a Chronicle of Visual Events at each Instant of Time thanks to the Multiplexing of Traveling Waves. Journal of Neuroscience, 41(34), 7224-7233. doi:10.1523/JNEUROSCI.2098-20.2021

Koukouli, F., Rooy, M., Tziotis, D., Sailor, K., O'Neill, H., Levenga, J., Witte, M., Nilges, M., Changeux, J., Hoeffer, C., Stitzel, J., Gutkin, B., Digregorio, D. & Maskos, U. (2017). Nicotine reverses hypofrontality in animal models of addiction and schizophrenia. Nature medicine, 23(3), 347-354. doi:10.1038/nm.4274

Kriegel, U. (2018). Belief-that and Belief-in: Which Reductive Analysis? Non-Propositional Intentionality (pp. 192-213). New York: Oxford University Press

Kriegel, U. (2019). The Perception/Cognition Divide: One More Time, with Feeling. In C. Limbeck-Lilienau and F. Stadler (Eds.), he Philosophy of Perception and Observation Berlin and Boston: De Gruyter

Kriegel, U. (2018). Brentano’s Dual-Framing Theory of Consciousness. Philosophy and Phenomenological Research, 97(1), 79-98. doi:10.1111/phpr.12327

Kriegel, U. (2019). Dignāga’s Argument for the Awareness Principle: An Analytic Refinement. Philosophy East & West , 69, 144-156

Kriegel, U. (2017). The Monist.

Kriegel, U. (2017). Introduction. In Uriak Kriegel (Eds.), Routledge Handbook of Franz Brentano and the Brentano School (pp. 1-11). London and New York: Routledge

Kriegel, U. (2017). Reductive Representationalism and Emotional Phenomenology. Midwest Studies in Philosophy , 41(1), 41-59. doi:10.1111/misp.12072

Kriegel, U. (2017). Brentano's Concept of Mind: Underlying Nature, Reference-Fixing, and the Mark of the Mental. In Sandra Lapointe & Christopher Pincock (Eds.), Innovations in the History of Analytical PhilosophyPalgrave-Macmillan

Kriegel, U. (2017). Dignity and the Phenomenology of Recognition-Respect. In J. J. Drummond & S. Rinofner-Kreidl (Eds.), Emotional Experience: Ethical and Social SignificanceRowman & Littlefield

Kriegel, U. (2018). Brentano's Philosophical System: Mind, Being, Value .

Kriegel, U. (2017). Metaphysics and Conceptual Analysis: Experimental Philosophy's Place Under the Sun. (pp. 7–46).

Kriegel, U. (2017). The Routledge Handbook of Franz Brentano and the Brentano School.

Kriegel, U. (2017). Brentano's Philosophical Program. (pp. 21–32 ).

Kriegel, U. (2017). Brentano on Judgment. (pp. 103–109).

Kriegel, U. (2017). Brentano's Classification of Mental Phenomena. (pp. 97–102).

Kriegel, U. (2017). Brentano’s Evaluative-Attitudinal Account of Will and Emotion. Revue Philosophique de la France Et de l'Etranger , 142(4), 529-558

Krupa, M., Gutkin, B. & Zakharov, D. (2020). Modeling dopaminergic modulation of clustered gamma rhythms. Communications in Nonlinear Science and Numerical Simulation, 82(105086), 1-10. doi:10.1016/j.cnsns.2019.105086

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

Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).

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

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

Lazarevich, I. , Gutkin, B. & Prokin, I. (2018). Neural activity classification with machine learning models trained on interspike interval series data. arxiv , 1810.03855

Le Bars, S., Devaux, A., Nevidal, T., Chambon, V. & Pacherie, E. (2020). Agents' pivotality and reward fairness modulate sense of agency in cooperative joint action. Cognition, 195, 104117. doi:10.1016/j.cognition.2019.104117

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19