Publications

de Vignemont, F. (2020). What Phenomenal Contrast for Bodily Ownership? Journal of the American Philosophical Association, 6(1), 117-137. doi:10.1017/apa.2019.34

de Vignemont, F. (2021). What is the body schema? In Yochai Ataria, Shogo Tanaka, and Shaun Gallagher (Eds.), Body Schema and Body Image: New Directions. doi:10.1093/oso/9780198851721.003.0001

de Vignemont, F. (2018). Was Descartes right after all? An affective background for bodily awareness. . In Tsakiris, Manos de Preester, Helena (Eds.), The Interoceptive Basis of the Mind: from homeostasis to awareness Oxford: Oxford University Press

de Vignemont, F. (2018). Varieties of bodily feelings. In Kriegel, Uriah (Eds.), The Oxford handbook of consciousness Oxford: Oxford University Press

Alsmith, A. & Longo, M. (2019). Using VR technologies to investigate the flexibility of human self-conception. In E. Fischer and M. Curtis (Eds.), Methodological Advances in Experimental Philosophy (pp. 153-174). London: Bloomsbury

Massin, O. & de Vignemont, F. (2020). Unless I Put My Hand into His Side, I Will Not Believe: The Epistemic Privilege of touch. In Berit Brogaard & Dimitria Electra Gatzia (Eds.), The Epistemology of non-Visual Perception (pp. 165).Oxford University Press

de Vignemont, F. (2020). Un homme augmenté mais à quel prix ? In Bénédicte Boyer-Bévière, Isabelle Moine-Dupuis (Eds.), L’humain en transformation. Entre transhumanisme et humanité (pp. 23-30). doi:10.4000/cdst.2307

Sackur, J. (2013). Two dimensions of visibility revealed by multidimensional scaling of metacontrast. Cognition, 126(2), 173-80. doi:10.1016/j.cognition.2012.09.013

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

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

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

de Vignemont, F., Wong, H. , Serino, A. & Farnè, A. (2023). The world at our fingertips: a multidisciplinary investigation of Peripersonal space. . doi:10.1093/oso/9780198851738.001.0001

Cardinali , L., Zanini , A., Yanofsky , R., Roy, A., de Vignemont, F., Culham , J. & Farnè, A. (2021). The toolish hand illusion: embodiment of a tool based on similarity with the hand. Scientific Reports, 11(1), 2024. doi:10.1038/s41598-021-81706-6

Seli, P., Konishi, M., F. Risko, E. & Smilek, D. (2018). The Role of Task Difficulty in Theoretical Accounts of Mind Wandering. Consciousness and Cognition , 65, 255–262. doi:10.1016/j.concog.2018.08.005

de Vignemont, F. (2019). The phenomenology of bodily ownership. In Guillot, Marie Garcia-Carpintero, Manuel (Eds.), The sense of mineness Oxford: Oxford University Press

Dominijanni, G. , Shokur, S. , Salvietti, G. , Palmerini, E. , Rossi, S. , de Vignemont, F., d’Avella, A. , Makin, T., Prattichizzo, D. & Micera , S. (2021). The neural resource allocation problem when enhancing human bodies with extra robotic limbs. Nature Machine Intelligence, 3, 850-860. doi:10.1038/s42256-021-00398-9

van der Veer, A. , Alsmith, A., Longo, M. , Wong, H. , Diers, D. , Bues, M. , Giron, A. & Mohler, B. (2019). The influence of the viewpoint in a self-avatar on body part and self-localization. In ACM Symposium on Applied Perception 2019, 1-11. doi:10.1145/3343036.3343124

de Vignemont, F. (2018). The first-person in pain. In Bain, D., Brady, M., Corns, J. (Eds.), Philosophy of Pain: Unpleasantness, Emotion, and DevianceRoutledge

Rahnev, D., Desender, K., Lee, A., Adler, W., Aguilar-Lleyda, D., Akdoğan, B., Arbuzova, P., Atlas, L., Balcı, F., Bang, J., Bègue, I., Birney, D., Brady, T., Calder-Travis, J., Chetverikov, A., Clark, T., Davranche, K., Denison, R., Dildine, T., Double, K., Duyan, Y., Faivre, N., Fallow, K., Filevich, E., Gajdos, T., Gallagher, R., de Gardelle, V., Gherman, S., Haddara, N., Hainguerlot, M., Hsu, T., Hu, X., Iturrate, I., Jaquiery, M., Kantner, J., Koculak, M., Konishi, M., Koß, C., Kvam, P., Kwok, S., Lebreton, M., Lempert, K., Ming Lo, C., Luo, L., Maniscalco, B., Martin, A., Massoni, S., Matthews, J., Mazancieux, A., Merfeld, D., O'Hora, D., Palser, E., Paulewicz, B., Pereira, M., Peters, C., Philiastides, M., Pfuhl, G., Prieto, F., Rausch, M., Recht, S. , Reyes, G., Rouault, M., Sackur, J., Sadeghi, S., Samaha, J., Seow, T., Shekhar, M., Sherman, M., Siedlecka, M., Skóra, Z., Song, C., Soto, D., Sun, S., Van Boxtel, J., Wang, S., Weidemann, C., Weindel, G., Wierzchoń, M., Xu, X., Ye, Q., Yeon, J., Zou, F. & Zylberberg, A. (2020). The Confidence Database. Nature Human Behaviour, 4, 317–325. doi:10.1038/s41562-019-0813-1

Sackur, J. & Dehaene, S. (2009). The cognitive architecture for chaining of two mental operations. Cognition, 111(2), 187-211. doi:10.1016/j.cognition.2009.01.010

Kharitonov, E. , Polyak, A. , Adi, Y. , Copet, J. , Lakhotia, K. , Nguyen, T. , Rivière, M., Mohamed, A., Dupoux, E. & Hsu, W. (2022). Text-Free Prosody-Aware Generative Spoken Language Modeling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 8666–8681. doi:10.18653/v1/2022.acl-long.593

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

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

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