Publications

Stojanovic, I. (2016). Speaking About Oneself. (pp. 200–219 ). doi:10.1093/acprof:oso/9780198713265.003.0008

Feest, U. , Bouvier, A., Henderson, D. , Kaldis , B., Montuschi , E., Risjord, M. , Roth, P., Zahle , J. & Zamora-Bonilla, J. (2019). Special Issue (Part I) , Vol. 49: In Joint Session of the European Network for the Philosophy of the Social Sciences (ENPOSS) and the Roundtable on Philosophy of the Social Sciences , Hannover.

Feest, U. , Bouvier, A., Henderson, D. , Kaldis , B., Montuschi , E., Risjord, M. , Roth, P., Zahle , J. & Zamora-Bonilla, J. (2019). Special Issue (Part II) In Joint Session of the European Network for the Philosophy of the Social Sciences (ENPOSS) and the Roundtable on Philosophy of the Social Sciences, Hannover.

Zahle , J., Bouvier, A., Kaldis , B., Uebel, T. & Zamora-Bonilla, J. (2013). Special Issue: Papers From the Inaugural Meeting of ENPOSS (European Network for the Philosophy of the Social Sciences), University of Copenhagen, September 21-23, 2012. Philosophy of the Social Sciences, 43(3 )

Zahle , J., Kaldis , B., Bouvier, A., Roth, P., Montuschi , E., Bohman, J., Turner, S., Wylie, A. & Zamora-Bonilla, J. (2014). Special Issue: Selected Papers From the ENPOSS Meeting, Venice 3-4 September 2013. Philosophy of the Social Sciences, 44(1 )

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

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022

Gekas, N., Perrinet, L., Mamassian, P., Montagnini, A. & Masson, G. (2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, 18(10), 345

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

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.

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

Wexler, M., Mamassian, P. & Schütz, A. (2022). Structure of visual biases revealed by individual differences. Vision Research, 195, 108014. doi:10.1016/j.visres.2022.108014

Verheyen, S., Dewil, S. & Egré, P. (2018). Subjectivity in Gradable Adjectives: The Case of Tall and Heavy. Mind and Language, 33(5), 460–479

Terrone, E. & Bandirali , L. (2017). Super Size Stories. Narrative Strategies in Contemporary TV Series. Cinergie, 11, 98-110

Chemla, E. & Egré, P. (2019). Suszko's problem: mixed consequence and compositionality. Review of Symbolic Logic, 12(4), 736-767. doi:10.1017/S1755020318000503

Stojanovic, I. (2007). Talking about Taste: Disagreement, Implicit Arguments and Relative Truth. Linguistics and Philosophy, 30, 691-706. doi:10.1007/s10988-008-9030-5

Stojanovic, I. (2014). Talking about the Future: Settled Truth and Assertion. In De Brabanter, Ph., Kissine, M. and Sharifzadeh, S. (Eds.), Future Times, Future Tenses (pp. 26-43).Oxford: OUP

Stojanovic, I. (2011). Talking about the Future: Unsettled Truth and Assertion. In Korta, Kepa and Maria Ponte (Eds.), In Proceedings of SPR-11: Semantics, Pragmatics, Rhetoric. Donostia: ILCLI Publications.

Balsdon, T. & Clifford, C. (2018). Task Dependent Effects of Head Orientation on Perceived Gaze Direction. Frontiers in Psychology, 9, 2491. doi:10.3389/fpsyg.2018.02491

Balsdon, T. & Clifford, C. (2018). Task Dependent Effects of Head Orientation on Perceived Gaze Direction. Frontiers in psychology, 9, 2491. doi:10.3389/fpsyg.2018.02491

Deneux, T., Kempf, A., Daret, A., Ponsot, E. & Bathellier, B. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature communications, 7, 12682. doi:10.1038/ncomms12682

Recht, S. , Mamassian, P. & de Gardelle, V. (2019). Temporal attention causes systematic biases in visual confidence. Scientific Reports, 9(1), 11622. doi:10.1038/s41598-019-48063-x

Schaffhauser, T., Boubenec, Y. & Mamassian, P. (2019). Temporal binding across senses facilitates change detection within senses. Journal of vision, 19(10), 19a-19a. doi:10.1167/19.10.19a

Jovanovic, L. & Mamassian, P. (2020). Temporal context affects the perceived time of visual events. Psychonomic Bulletin & Review, 27, 56–61. doi:10.3758/s13423-019-01682-x

Ponsot, E., Susini, P., Saint Pierre, G. & Meunier, S. (2013). Temporal loudness weights for sounds with increasing and decreasing intensity profiles. The Journal of the Acoustical Society of America, 134(4), EL321-6. doi:10.1121/1.4819184

Ponsot, E., Susini, P. & Oberfeld, D. (2016). Temporal weighting of loudness: Comparison between two different psychophysical tasks. The Journal of the Acoustical Society of America, 139(1), 406-17. doi:10.1121/1.4939959

Vacher, J. , Davila, A., Kohn, A. & Coen-Cagli, R. (2020). Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%)

Terrone, E. (2017). The Band of Theseus: Social Individuals and Mental Files. Philosophy of the Social Sciences , 47(4-5), 287–310. doi:10.1177/0048393117705298

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

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