Publications

Balsdon, T., Wyart, V. & Mamassian, P. (2022). Robust changes in confidence efficiency during post-decision time windows. Journal of Vision, 22(14), 3251. doi:10.1167/jov.22.14.3251

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Neural signatures of confidence after the completion of a perceptual decision. Journal of Vision, 21(9). doi:10.1167/jov.21.9.2518

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

Chevallier, C., Hacquin, A. & Mercier, H. (2021). COVID-19 Vaccine Hesitancy: Shortening the Last Mile. Trends in Cognitive Sciences, 25(5), 331–333. doi:10.1016/j.tics.2021.02.002

Yesilaltay , S., Hacquin, A., Chevallier, C. & Mercier, H. (2021). Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. Journal of Experimental Psychology: Applied. doi:10.1037/xap0000400

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

Kovarski, K., Mennella, R., Wong, S., Dunkley, B., Taylor, M. & Batty, M. (2019). Enhanced Early Visual Responses During Implicit Emotional Faces Processing in Autism Spectrum Disorder. Journal of autism and developmental disorders, 49(3), 871-886. doi:10.1007/s10803-018-3787-3

Patron, E., Mennella, R., Messerotti Benvenuti, S. & Thayer, J. (2019). The frontal cortex is a heart-brake: Reduction in delta oscillations is associated with heart rate deceleration. NeuroImage, 188, 403-410. doi:10.1016/j.neuroimage.2018.12.035

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

Balsdon, T. & Clifford, C. (2018). Visual processing: conscious until proven otherwise. , 5(1). doi:10.1098/rsos.171783

Schweitzer, R. , Watson, T. , Balsdon, T. & Rolfs, M. (2018). From retinal to world-centered perception of intra-saccadic motion streaks: Evidence for high-fidelity eye position information during saccades. , 18(10), 1285

Strickland, B. & Chemla, E. (2018). Cross-linguistic regularities and learner biases reflect "core" mechanics. PloS one, 13(1), e0184132. doi:10.1371/journal.pone.0184132

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

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

Jacquot, A., Eskenazi, T., Sales{-}wuillemin, E., Montalan, B., Proust, J., Grèzes, J. & Conty, L. (2015). Source Unreliability Decreases but Does Not Cancel the Impact of Social Information on Metacognitive Evaluations . Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01385

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

Oster, A., Faure, P. & Gutkin, B. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience, 9, 95. doi:10.3389/fncom.2015.00095

Strickland, B., Geraci, C., Chemla, E., Schlenker, P., Kelepir, M. & Pfau, R. (2015). Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases. Proceedings of the National Academy of Sciences of the United States of America, 112(19), 5968-73. doi:10.1073/pnas.1423080112

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

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

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

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

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139