Dr. Jonathan Cannon is a computational neuroscientist and mathematician. His graduate work at Boston University involved building and studying mathematical models of oscillations in neural circuits and their roles in the generation of stereotyped motor processes like birdsong and in routing communication within the brain. He did postdoctoral research at Brandeis modeling neuronal homeostasis, and at MIT conducting behavioral and electrophysiological experiments exploring predictive cognitive processes in autism. His current research interests are focused on timing and rhythm in perception and action, with particular interest in timing-related neural dynamics in the basal ganglia, cerebellum, and supplementary motor area. This interest is rooted in his experience as a performing musician: outside of his academic and teaching career, he has spent much of his time playing traditional Jewish, Celtic, and Romanian music on violin and guitar.
Dr. Martin (March) Miguel is a computer scientist (B.Sc. and M.Sc.) from the University of Buenos Aires, Argentina. He started researching rhythm cognition interested in how the timing of events can produce affective responses in a listener. To that aim, he developed models and formalisms for the analysis of beat expectation and ambiguity, with focus on producing observations of relevance for experimental research. He joined TRIMBAlab as a Postdoc in the Department of Psychology, Neuroscience & Behaviour at McMaster University to continue working on questions regarding rhythm perception. Outside (and nearby) research, his interests include biking, music, social dance, tap dance, rock climbing, politics, economics, video games and board games.
Matin Yousefabadi earned his B.Sc. in Civil Engineering at the University of Tehran in in 2019, and his M.Sc. in AI and Computational Neuroscience in the Computer Engineering Program at Sharif University of Technology, Tehran, Iran in 2022. He is studying at McMaster University as Ph.D. student in the Department of Psychology, Neuroscience & Behaviour at McMaster University, focusing on Rhythm perception. His hobbies include adventures and photography, and he spend his free time traveling, cooking, reading books, and listening to music.
Yassaman Ommi earned her bachelor’s degree at Amirkabir University of Technology, writing her thesis on application of deep learning in generation of drug molecules. She is studying at McMaster University as Ph.D. student in Computational Sciences and Engineering.
Dr. Jonathan Cannon’s actual brain