Publications

Ostojic, S., Panja, D. & Nienhuis, B. (2004). Clustering in a one-dimensional inelastic lattice gas. Physical Review E, 69(4 Pt 1), 041301. doi:10.1103/PhysRevE.69.041301

Ostojic, S., Somfai, E. & Nienhuis, B. (2006). Scale invariance and universality of force networks in static granular matter. Nature, 439(7078), 828-30. doi:10.1038/nature04549

Ostojic, S. & Panja, D. (2006). Elasticity from the force network ensemble in granular media. Physical Review Letters, 97(20), 208001. doi:10.1103/PhysRevLett.97.208001

Ostojic, S., Vlugt, T. & Nienhuis, B. (2007). Universal anisotropy in force networks under shear. Physical Review E, 75(3 Pt 1), 030301. doi:10.1103/PhysRevE.75.030301

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

Ostojic, S., Brunel, N. & Hakim, V. (2009). How connectivity, background activity, and synaptic properties shape the cross-correlation between spike trains. The Journal of Neuroscience, 29(33), 10234-53. doi:10.1523/JNEUROSCI.1275-09.2009

Ostojic, S., Brunel, N. & Hakim, V. (2009). Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities. Journal of computational neuroscience, 26(3), 369-92. doi:10.1007/s10827-008-0117-3

Ostojic, S. & Brunel, N. (2011). From spiking neuron models to linear-nonlinear models. PLoS Computational Biology, 7(1), e1001056. doi:10.1371/journal.pcbi.1001056

Ostojic, S. (2011). Interspike interval distributions of spiking neurons driven by fluctuating inputs. Journal of neurophysiology, 106(1), 361-73. doi:10.1152/jn.00830.2010

Schaffer, E., Ostojic, S. & Abbott, L. (2013). A complex-valued firing-rate model that approximates the dynamics of spiking networks. PLoS computational biology, 9(10), e1003301. doi:10.1371/journal.pcbi.1003301

Ostojic, S. & Fusi, S. (2013). Synaptic encoding of temporal contiguity. Frontiers in computational neuroscience, 7, 32. doi:10.3389/fncom.2013.00032

Ostojic, S. (2014). Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons. Nature Neuroscience, 17(4), 594-600. doi:10.1038/nn.3658

Saez, A., Rigotti, M., Ostojic, S., Fusi, S. & Salzman, C. (2015). Abstract Context Representations in Primate Amygdala and Prefrontal Cortex. Neuron, 87(4), 869-81. doi:10.1016/j.neuron.2015.07.024

Ostojic, S., Szapiro, G., Schwartz, E., Barbour, B., Brunel, N. & Hakim, V. (2015). Neuronal morphology generates high-frequency firing resonance. The Journal of Neuroscience, 35(18), 7056-68. doi:10.1523/JNEUROSCI.3924-14.2015

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

Graupner, M., Wallisch, P. & Ostojic, S. (2016). Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate. The Journal of Neuroscience, 36(44), 11238-11258. doi:10.1523/JNEUROSCI.0104-16.2016

Blot, A., De Solages, C., Ostojic, S., Szapiro, G., Hakim, V. & Léna, C. (2016). Time-invariant feed-forward inhibition of Purkinje cells in the cerebellar cortex in vivo. The Journal of physiology, 594(10), 2729-49. doi:10.1113/JP271518

Claidière, N., Trouche, E. & Mercier, H. (2017). Argumentation and the diffusion of counter-intuitive beliefs. Journal of experimental psychology. General, 146(7), 1052-1066. doi:10.1037/xge0000323

Sperber, D. & Mercier, H. (2017). The Enigma of Reason .

Mennella, R., Sarlo, M., Messerotti Benvenuti, S., Buodo, G., Mento, G. & Palomba, D. (2017). The two faces of avoidance: Time-frequency correlates of motivational disposition in blood phobia. Psychophysiology, 54(11), 1606-1620. doi:10.1111/psyp.12904

Mastrogiuseppe, F. & Ostojic, S. (2017). Intrinsically-generated fluctuating activity in excitatory-inhibitory networks. PLoS computational biology, 13(4), e1005498. doi:10.1371/journal.pcbi.1005498

Batty, M., Kovarski, K. & Meaux, E. (2018). De l’exploration à la perception des visages chez les personnes avec un trouble du spectre de l’autisme. Neuropsychologie et remédiations des troubles du spectre de l’autismeEditions deboeck Supérieur

Maravall, M., Ostojic, S., Pressnitzer, D. & Chait, M. (2018). More than the Sum of its Parts: Perception and Neuronal Underpinnings of Sequence Processing. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.07.043

de Vignemont, F. & Sackur, J. (2018). La conscience. In Collins, Thérèse, Tallon-Baudry, Catherine, Andler, Daniel (Eds.), La cognitionGallimard

de Vignemont, F. (2018). Schéma corporel et image corporelle. In De Boeck/Solal (Eds.), Manuel de psychomotricité

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

Pitron, V., Alsmith, A. & de Vignemont, F. (2018). How do the body schema and the body image interact? . Consciousness and Cognition, 65, 352-358. doi:10.1016/j.concog.2018.08.007

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

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