Publications

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

Morisseau, T. , Branch-Smith, T. & Origgi, G. (2021). Stakes of Knowing the Truth: A Motivational Perspective on the Popularity of a Controversial Scientific Theory. Front. Psychol., 12, 3800. doi:10.3389/fpsyg.2021.708751

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Makin, T. & de Vignemont, F. (2020). Soft Embodiment for Engineering Artificial. Trends in Cognitive, 4(12), 965-968. doi:10.1016/j.tics.2020.09.008

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

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Loussouarn, A., Gabriel, D. & Proust, J. (2011). Exploring the informational sources of metaperception: the case of Change Blindness Blindness. Consciousness and cognition, 20(4), 1489-1501. doi:10.1016/j.concog.2011.07.001

Longo, M., Rajapakse , S., Alsmith, A. & Ferre , F. (2020). Shared contributions of the head and torso to spatial reference frames across spatial judgments. Cognition, .

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

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

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

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

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

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

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

Kim, S., Le Guen, O. , Sodian, B. & Proust, J. (2021). Are Children Sensitive to What They Know?: An Insight from Yucatec Mayan Children. Journal of Cognition and Culture, 21(3-4), 226-242. doi:10.1163/15685373-12340106

Kim, S., Sodian, B., Senju, A., Okuno , A., Ueno, M., Itakura, S. & Proust, J. (2020). Metacognition and mindreading in young children: a cross-cultural study. Consciousness and Cognition , 85, 103017. doi:10.1016/j.concog.2020.103017

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2020). Children’s Prior Experiences of their Successes and Failures Modulate Belief Alignment. European Journal of Developmental Psychology, 17(5). doi:10.1080/17405629.2020.1722634

Kim, S., Sodian, B. & Proust, J. (2020). 12- and 24-Month-Old Infants’ Search Behavior Under Informational Uncertainty . Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.00566

Kim, S., Paulus, M., Sodian, B., Itakura, S., Ueno, M., Senju, A. & Proust, J. (2018). Selective learning and teaching among Japanese and German children. Developmental psychology, 54(3), 536-542. doi:10.1037/dev0000441

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2016). Young Children's Sensitivity to Their Own Ignorance in Informing Others. PloS one, 11(3), e0152595. doi:10.1371/journal.pone.0152595

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