Publications

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Rooy, M., Koukouli, F., Maskos, U. & Gutkin, B. (2018). Nicotinic modulation of hierarchal inhibitory control over prefrontal cortex resting state dynamics: modeling of genetic modification and schizophreniarelated pathology. bioRxiv, 301051. doi:10.1101/301051

Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

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

Dumont, G. & Gutkin, B. (2018). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. arXiv , 1812.03455

Deperrois, N. & Gutkin, B. (2018). Nicotinic and Cholinergic Modulation of Reward Prediction Error Computations in the Ventral Tegmental Area: a Minimal Circuit Model. bioRxiv, 423806. doi:10.1101/423806

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2019). Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning. bioRxiv. doi:10.1101/593368

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.)

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

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

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

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

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

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

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

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

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

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Dokic & Pascal Engel, J. (2018). Visual Awareness and Visual Appearances. A Dual View. In F. Dorsch & F. Macpherson (Eds.), Phenomenal Presence (pp. 181-198). Oxford: Oxford University Press. doi:10.1093/oso/9780199666416.003.0008

Dokic, J. (2018). The Role of Noetic Feelings in Sensory Substitution. In F. Macpherson (Eds.), Sensory Substitution and Augmentation, Proceedings of the British Academy Oxford University Press

Dokic, J. (2018). The Uncanny and Other Negative Existential Feelings. In C. Tappolet, F. Teroni, A. Konzelmann Ziv (Eds.), Shadows of the Soul. Philosophical Perspectives on Negative Emotions (pp. 6-76).Routledge. doi:10.4324/9781315537467

Arcangeli, M. & Dokic, J. (2018). Affective Memory: A Little Help From Our Imagination. In K. Michaelian, D. Debus, D. Perrin (Eds.), New Directions in the Philosophy of Memory, (pp. 139–157).Routledge,

Arcangeli, M., Sperduti, C. & Dokic, J. (2018). The beautiful, the sublime and the self. In F. Cova et S. Réhault (Eds.), Advances in Experimental Philosophy of Aesthetics (pp. 175-196).Bloomsbury