Publications

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311

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

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

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

Keramati, M., Ahmed, S. & Gutkin, B. (2017). Misdeed of the need: towards computational accounts of transition to addiction. Current opinion in neurobiology, 46, 142-153. doi:10.1016/j.conb.2017.08.014

Koukouli, F., Rooy, M., Tziotis, D., Sailor, K., O'Neill, H., Levenga, J., Witte, M., Nilges, M., Changeux, J., Hoeffer, C., Stitzel, J., Gutkin, B., Digregorio, D. & Maskos, U. (2017). Nicotine reverses hypofrontality in animal models of addiction and schizophrenia. Nature medicine, 23(3), 347-354. doi:10.1038/nm.4274

Karaminis, T., Lunghi, C., Neil, L., Burr, D. & Pellicano, E. (2017). Binocular rivalry in children on the autism spectrum. Autism research : official journal of the International Society for Autism Research, 10(6), 1096-1106. doi:10.1002/aur.1749

Binda, P. & Lunghi, C. (2017). Short-Term Monocular Deprivation Enhances Physiological Pupillary Oscillations. Neural Plasticity, 2017. doi:10.1155/2017/6724631

Lo Verde, L., Morrone, M. & Lunghi, C. (2017). Early cross-modal plasticity in adults. Journal of Cognitive Neuroscience, 29(3), 520-529. doi:10.1162/jocn_a_01067

Ponsot, E., Susini, P. & Meunier, S. (2017). Global loudness of rising- and falling-intensity tones: How temporal profile characteristics shape overall judgments. The Journal of the Acoustical Society of America, 142(1), 256. doi:10.1121/1.4991901

Neri, P. (2017). Object segmentation controls image reconstruction from natural scenes. PLoS biology, 15(8), e1002611. doi:10.1371/journal.pbio.1002611

Hansmann-Roth, S., Pont, S. & Mamassian, P. (2017). Contextual effects on real bicolored glossy surfaces. Journal of Vision, 17(2):17, 1-13. doi:10.1167/17.2.17

Hansmann-Roth, S. & Mamassian, P. (2017). A Glossy Simultaneous Contrast: Conjoint Measurements of Gloss and Lightness. i-Perception, 8(1), 2041669516687770. doi:10.1177/2041669516687770

Otto, T. & Mamassian, P. (2017). Multisensory decisions: The test of a race model, its logic, and power. Multisensory Research, 30(1), 1-24. doi:10.1163/22134808-00002541

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022

Jovanovic, L. & Mamassian, P. (2018). When a visual event is perceived depends on where it is presented. Journal of Vision, 18(10), 714-714. doi:10.1167/18.10.714

Locke, S., Mamassian, P. & Landy, M. (2018). Sequential Effects in Confidence. Journal of Vision, 18(10), 658

Jovanovic, L. & Mamassian, P. (2018). Timing in the absence of a clock reset. Journal of vision, 18(6), 13. doi:10.1167/18.6.13

Recht, S. , Mamassian, P. & de Gardelle, V. (2018). Confidence blinks before attention. Journal of Vision, 18(10), 1112. doi:10.1167/18.10.1112

Gekas, N. & Mamassian, P. (2018). Mapping the effects of stimulus history on perception. Journal of Vision, 18(10), 8-8

Gaffin-Cahn, E. , Locke, S., Hosseinizaveh, N. , Mamassian, P. & Landy, M. (2018). Assessing the role of rewards and priors on confidence judgments. journal of Vision, 18(10), 1046

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

Balsdon, T. (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

Neri, P. (2018). The empirical characteristics of human pattern vision defy theoretically-driven expectations . PLoS Computational Biology , 14(12), e1006585. doi:10.1371/journal.pcbi.1006585

Recht, S. , Mamassian, P. & de Gardelle, V. (2018). When temporal attention lacks confidence. bioRxiv, 496232

Hansmann-Roth, S., Pont, S. & Mamassian, P. (2018). Contextual effects in human gloss perception. Electronic Imaging(14), 1-7

Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv

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