Alexadre Hyafil

Lecturer at CRM
Research area: Computer Science

PhD in Cognitive Science obtained at Université Pierre et Marie Curie, Paris (France) (2008)


I completed my PhD in 2008 under the supervision of Etienne Koechlin. After a series of postdoc at Ecole Normale Supérieure (Paris) and various institutions in Barcelona, I am now a Ramón y Cajal investigator at CRM. I have received various postdoctorate fellowships such as the Marie Curie IEF and the Jovenes Investigadores from the Mineco. My current research interests are towards understanding the neural basis of perception and decision-making through a combination of modelling, psychophysics, and data analysis of behavioral and neural recodings.

Research lines

Computational neuroscience, cognitive neuroscience, machine learning, perception, decision-making

Selected publications

Adam, V., & Hyafil, A. (2020). Non-linear regression models for behavioral and neural data analysis. ArXiv Preprint ArXiv:2002.00920. Retrieved from

Hyafil, A., & Moreno-Bote, R. (2017). Breaking down hierarchies of decision-making in primates. ELife, 6.

Hyafil, A., Giraud, A.-L., Fontolan, L., & Gutkin, B. S. (2015). Neural Cross-Frequency Coupling: Connecting Architectures , Mechanisms , and Functions. Trends in Neurosciences, 38(11), 725–741.

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. S., & Giraud, A.-L. (2015). Speech encoding by coupled cortical theta and gamma oscillations. ELife, 4(in press), 1–23.

Hermoso-Mendizabal, A., Hyafil, A., Rueda-Orozco, P. E., Jaramillo, S., Robbe, D., & Rocha, J. de la. (2020). Response outcomes gate the impact of expectations on perceptual decisions. Nature Communications, (in press).