Publications

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2021). Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel. In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 211-214. doi:10.1109/DCNA53427.2021.9586968

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Calculation of travelling chimera speeds for dynamical systems with ring topologies. In 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 61-64. doi:10.1109/DCNA53427.2021.9586903

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Multistability of coherent states in ring networks of type II neurons with asymmetrical nonlocal inhibitory connectivity. Journal of Computational Neuroscience. doi:10.1016/j.chaos.2021.111541

Completo Guerreiro, I., Gu, Z., Yakel, J. & Gutkin, B. (2022). Recurring Cholinergic Inputs Induce Local Hippocampal Plasticity through Feedforward Disinhibition. eNeuro. doi:10.1523/ENEURO.0389-21.2022

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Casati, R. (2021). Drawing problems: thought in action. Adaptive Behavior, 29(5), 441-448. doi:10.1177/1059712319861551

Cavanagh, P., Casati, R. & Elder , J. (2022). Scaling depth from shadow offset. Journal of Vision, 21(12), 15. doi:10.1167/jov.21.12.15

Casati, R. (2021). Im Moment des Schattens. Liddy Scheffknecht – Points in Time,De Gruyter,. doi:10.1515/9783110769562-005

Casati, R. (2021). Shadows in the Moment. Liddy Scheffknecht – Points in Time (pp. 161-164).De Gruyter. doi:10.1515/9783110769562-010

Casati, R. (2022). The Sailing Mind. Springer Nature. doi:10.1007/978-3-030-89639-3

Casati, R., Kulvicki, J. & Zeimbekis, J. (2022). Borgesian Maps . Analytic Philosophy, 63(2), 90–98. doi:10.1111/phib.12204

Arcangeli, M. & Dokic, J. (2021). At the Limits: What Drives Experiences of the Sublime. British Journal of Aesthetics, 61(2), 145-161. doi:10.1093/aesthj/ayaa030

Arcangeli, M. (2021). The conceptual nature of imaginative content. Synthese, 199(1-2), 3189-3205. doi:10.1007/s11229-020-02930-7

Caziot, B. & Mamassian, P. (2021). Perceptual confidence judgments reflect self-consistency. Journal of Vision, 21(12), 8. doi:10.1167/jov.21.12.8

Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S., Jehee, J., Lau, H., Lee, A., Locke, S., Mamassian, P., Odegaard, B., Peters, M., Reyes, G., Rouault, M., Sackur, J., Samaha, J., Sergent, C., Sherman, M., Siedlecka, M., Soto, D., Vlassova, A. & Zylberberg, A. (2022). Consensus goals for the field of visual metacognition. Perspectives on Psychological Science, . doi:10.1177/17456916221075615

Neri, P. (2022). Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations Author links open overlay panel. Neural Networks, 152, 244-266. doi:10.1016/j.neunet.2022.04.023

Ota, K. , Wu, Q. , Mamassian, P. & Maloney, L. (2021). Modeling visual estimation of the centers of symmetric distributions. , 21(9), 2381. doi:10.1167/jov.21.9.2381

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

Mamassian, P. (2022). Uncertain perceptual confidence. Nature Human Behaviour, 6, 179-180. doi:10.1038/s41562-021-01248-9

Kurzawski, J., Lunghi, C., Biagi, L., Tosetti, M., Maria Concetta, M. & Binda, P. (2022). Short-term plasticity in the human visual thalamus. eLife, 11. doi:10.7554/eLife.74565

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022

Winkler, M. , Dumont, G., Schöll, E. & Gutkin, B. (2021). Phase response approaches to neural activity models with distributed delay. Bio Cybern. doi:10.1007/s00422-021-00910-9

Klever, L. , Mamassian, P. & Billino, J. (2022). Age-related differences in visual confidence are driven by individual differences in cognitive control capacities. Scientific Reports , 12(6016). doi:10.1038/s41598-022-09939-7

Wexler, M., Mamassian, P. & Schütz, A. (2022). Structure of visual biases revealed by individual differences. Vision Research, 195, 108014. doi:10.1016/j.visres.2022.108014

Stojanovic, I., De Brabanter, P., Nicolas, D. & Villanueva, N. (2005). Deferential Utterances. In Casati, R. and Origgi, G. (Eds.), In Referring to Objects, Interdisciplines.org., 4-19.

Adams, W. & Mamassian, P. (2002). Common mechanisms for 2D tilt and 3D slant after-effects. Vision Research, 42(23), 2563-2568. doi:10.1016/S0042-6989(02)00269-9

Arcangeli, M. & Dokic, J. (2020). A plea for the Sublime in science. In S. French & M. Ivanova (Eds.), The Aesthetics of Science: Beauty, Imagination and Understanding (Routledge ed., pp. 104-124). doi:10.4324/9780429030284-6