Publications

Lunghi, C., Binda, P. & Morrone, M. (2010). Touch disambiguates rivalrous perception at early stages of visual analysis. Current Biology, 20(4). doi:10.1016/j.cub.2009.12.015

Lunghi, C., Sframeli, A. , Lepri, A., Lepri, M., Lisi, D., Sale, A. & Morrone, M. (2018 ). A new counterintuitive training for adult amblyopia. Annals of Clinical and Translational Neurology. doi:10.1002/acn3.698

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

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

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

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

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

Mamassian, P. (2021). Modeling perceptual confidence and the confidence forced-choice paradigm. Psychological Review, . doi:10.1037/rev0000312

Mamassian, P. (2020). Confidence Forced-Choice and Other Metaperceptual Tasks. , 49(6), 616-635. doi:10.1177/0301006620928010

Mamassian, P. & Zannoli, M. (2020). Sensory loss due to object formation. Vision Research, 14, 22-40. doi:10.1016/j.visres.2020.05.005

Mamassian, P. (2016). Visual Confidence. Annual Review of Vision Science, 2, 459-481. doi:10.1146/annurev-vision-111815-114630

Mamassian, P. & Landy, M. (1998). Observer biases in the 3D interpretation of line drawings. Vision Research, 38(18), 2817-2832. doi:10.1016/S0042-6989(97)00438-0

Mamassian, P., Knill, D. & Kersten, D. (1998). The perception of cast shadows. Trends in Cognitive Sciences, 2(8), 288-295. doi:10.1016/S1364-6613(98)01204-2

Mamassian, P. (1997). Prehension of objects oriented in three-dimensional space. Experimental Brain Research, 114(2), 235-245. doi:10.1007/PL00005632

Mamassian, P., Kersten, D. & Knill, D. (1996). Categorical local-shape perception. Perception, 25(1), 95-107. doi:10.1068/p250095

Mamassian, P. & Kersten, D. (1996). Illumination, shading and the perception of local orientation. Vision Research, 36(15), 2351-2367. doi:10.1016/0042-6989(95)00286-3

Mamassian, P. & Vemuri, B. (1993). ISOPHOTES ON A SMOOTH SURFACE RELATED TO SCENE GEOMETRY. , Vol. 2031: In Geometric Methods in Computer Vision II, 124-133. doi:10.1117/12.146619

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

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

Marion, G. , Di Liberto, G. & Shamma, S. (2021). The Music of Silence. Part I: Responses to Musical Imagery Encode Melodic Expectations and Acoustics. Journal of Neuroscience, JN-RM-0183-21. doi:10.1523/JNEUROSCI.0183-21.2021

Martin , S., Mikutta, C., Leonard, M. , Hungate, D., Koelsch, S., Shamma, S., Chang, E., Millán, J., Knight, R. & Pasley, B. (2018). Neural Encoding of Auditory Features during Music Perception and Imagery. Cerebral cortex (New York, N.Y. : 1991), 28(12), 4222-4233. doi:10.1093/cercor/bhx277

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

Masson, G., Gekas, N., Meso, A., Simoncini, C. & Mamassian, P. (2019). Dynamic non-linear interactions serving speed estimation inferred from channel interactions during ocular following. Joural of Vision, 19(10), 167b-167b. doi:10.1167/19.10.167b

Mastrogiuseppe, F. & Ostojic, S. (2019). A geometrical description of global dynamics in trained feedback networks. Neural Computation, 31(6), 1139-1182. doi:10.1162/neco_a_01187

Mastrogiuseppe, F. & Ostojic, S. (2018). Linking connectivity, dynamics and computations in recurrent neural networks. Neuron, 99(3), 609-623. doi:DOI:https://doi.org/10.1016/j.neuron.2018.07.003

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Mehta, A., Jacoby, N., Yasin, I., Oxenham, A. & Shamma, S. (2017). An auditory illusion reveals the role of streaming in the temporal misallocation of perceptual objects. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 372. doi:10.1098/rstb.2016.0114

Michel, M. , Beck, D. , .., .., King, J. , Kouider, S., Tallon-Baudry, C. & Yoshida , M. (2019). Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour, 3, 104-107. doi:10.1038/s41562-019-0531-8