Publications

Graupner, M., Wallisch, P. & Ostojic, S. (2019). Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate. Journal of Neuroscience , 36 (44), 11238-11258. doi:10.1523/JNEUROSCI.0104-16.2016

Giulio, B., Thomas, D., Brice, B. & Ostojic, S. (2021). Network dynamics underlying OFF responses in the auditory cortex. eLife, 10, e53151. doi:10.7554/eLife.53151

Findling, C. & Wyart, V. (2021). Computation noise in human learning and decision-making: origin, impact, function. Current Opinion in Behavioral Sciences, 38, 124-132. doi:10.1016/j.cobeha.2021.02.018

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

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

de Vignemont, F. (2021). Fifty Shades of Affective Colouring of Perception. Australasian Journal of Philosophy. doi:10.1080/00048402.2021.1965176

de Vignemont, F. (2021). Peripersonal perception in action. Synthese, 198, 4027–4044. doi:10.1007/s11229-018-01962-4

de Vignemont, F. (2021). A Minimal Sense of Here-ness. The Journal of Philosophy, 118(4), 169-187. doi:10.5840/jphil2021118413

de Vignemont, F., Serino, A., Wong, H. & Farnè, A. (2021). Peripersonal space: a special way of representing space.

de Vignemont, F. (2020). Bodily Awareness. Stanford Encyclopedia of Philosophy, .

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. (2018). Peripersonal perception in action. Synthese, 1-18. doi:10.1007/s11229-018-01962-4

de Vignemont, F. (2007). How Many Representations of the Body? Behavioral and Brain Sciences , 30(2), 204–205

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Chambon, V., Thero, H., Findling, C. & Koechlin, E. (2018). Believing in one's power: a counterfactual heuristic for goal-directed control. bioRxiv, 498675. doi:10.1101/498675

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

Bouton, S., Chambon, V., Tyrand, R., Guggisberg, A., Seeck, M., Karkar, S., Van De Ville, D. & Giraud, A. (2018). Focal versus distributed temporal cortex activity for speech sound category assignment. Proceedings of the National Academy of Sciences of the United States of America, . doi:10.1073/pnas.1714279115

Bouchacourt, F., Palminteri, S., Koechlin, E. & Ostojic, S. (2020). Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife, 9, e50469. doi:10.7554/eLife.50469

Bondanelli, G. & Ostojic, S. (2020). Coding with transient trajectories in recurrent neural networks. PLoS Computational Biology, 16 (2), e1007655. doi:10.1371/journal.pcbi.1007655

Bimbard, C., Ledoux, E. & Ostojic, S. (2016). Instability to a heterogeneous oscillatory state in randomly connected recurrent networks with delayed interactions. Physical review. E, 94(6-1), 062207. doi:10.1103/PhysRevE.94.062207

Beiran, M., Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2021). Shaping dynamics with multiple populations in low-rank recurrent networks. Neural Computation, 33(6), 1572-1615. doi:10.1162/neco_a_01381 Article history

Beiran, M. & Ostojic, S. (2019). Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks . PLoS Computational Biology, 15(3), e1006893. doi:10.1371/journal.pcbi.1006893

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Separable neural signatures of confidence during perceptual decisions. eLife, 10, e68491. doi:10.7554/eLife.68491

Balsdon, T., Wyart, V. & Mamassian, P. (2020). Confidence controls perceptual evidence accumulation. Nature Communications, 11(1), 1753. doi:10.1038/s41467-020-15561-w

Balsdon, T., Wyart, V. & Mamassian, P. (2019). Graded, multidimensional representations of sensory evidence allow for dissociable performance in second-choice and confidence judgments. Journal of Vision, 19(10), 289a-289a. doi:10.1167/19.10.289a

Balsdon, T., Summersby, S., Kemp, R. & White, D. (2018). Improving face identification with specialist teams. Cognitive Research: Principles and Implications, 3(1), 25. doi:10.1186/s41235-018-0114-7

Balsdon, T., Schweitzer, R. , Watson, T. & Rolfs, M. (2018). All is not lost: Post-saccadic contributions to the perceptual omission of intra-saccadic streaks. Consciousness and Cognition , 64, 19-31. doi:10.1016/j.concog.2018.05.004

Balsdon, T. & Clifford, C. (2018). How wide is the cone of direct gaze? Royal Society open science 6, 5(8), 180249

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