Publications

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Gutkin, B. & Ermentrout, G. (2006). Neuroscience: Spikes too kinky in the cortex? Nature, 440(7087), 999-1000. doi:10.1038/440999a

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Random perturbations of spiking activity in a pair of coupled neurons. Theory in Biosciences, 127(2), 135-139. doi:10.1007/s12064-008-0039-7

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

Hansmann-Roth, S. & Mamassian, P. (2019). Investigating the Role of Object Features in Material Perception Using MLDS and MLCM. Perception, 48, 10-10

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

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

Herzallah, M., Khdour, H., Taha, A., Elmashala, A., Mousa, H., Taha, M., Ghanim, Z., Sehwail, M., Misk, A., Balsdon, T., Moustafa, A., Myers, C. & Gluck, M. (2017). Depression Reduces Accuracy While Parkinsonism Slows Response Time for Processing Positive Feedback in Patients with Parkinson's Disease with Comorbid Major Depressive Disorder Tested on a Probabilistic Category-Learning Task. Frontiers in psychiatry, 8, 84. doi:10.3389/fpsyt.2017.00084

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

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

Imbert, M. (2020). La fin du regard éclairant. Une révolution dans les sciences de la vision au XIè siècle, Ibn al-Haytham.

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Jardri, R., Duverne, S., Litvinova, A. & Denève, S. (2017). Experimental evidence for circular inference in schizophrenia. Nature communications, 8, 14218. doi:10.1038/ncomms14218

Jardri, R., Leptourgos, P., Bouttier, V. & Denève, S. (2020). Circular Inference and Hallucinations. Biological Psychiatry, 87(9), S41-S42. doi:10.1016/j.biopsych.2020.02.131

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

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

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

Jovanovic, L. , López‐Moliner, J. & Mamassian, P. (2021). Contrasting contributions of movement onset and duration to self‐evaluation of sensorimotor timing performance. European Journal of Neuroscience, 54(3), 5092-5111. doi:10.1111/ejn.15378

Jovanovic, L. & Mamassian, P. (2020). Events are perceived earlier in peripheral vision. Current Biology, 30(21), R1299-R1300. doi:10.1016/j.cub.2020.08.096

Jovanovic, L. & Mamassian, P. (2019). Sensitivity of confidence judgments for different duration estimations. Journal of Vision, 19(10), 211-211. doi:10.1167/19.10.211

Jovanovic, L. & Mamassian, P. (2019). When a Visual Event Is Perceived Depends on How We Attend to Its Temporal Context. Perception, 48, 146

Jovanovic, L. & Mamassian, P. (2019). When an Event Is Perceived Depends on Where We Attend. I-Perception, 10(3), 2041669519858096. doi:10.1177/2041669519858096

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

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

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .