Events

Symposium in Nonlinear Dynamics of Brain and Behaviour

August 15th, 1:15 – 5:00, Life Sciences Complex, McGill University
3649 Sir William Osler Promenade, Montreal; All are Invited to Attend

1:15-3:30, Room 501 Goodman Cancer Research Centre (entrance through Bellini Bldg)
3:30-5:00 poster session / reception, Bellini 1st Floor Atrium

Guest Speakers:

Anmar Khadra, McGill University:
Mathematical modeling as a foundation for neuronal dynamics

Laurel Trainor, McMaster University:
Rhythm and prediction: Measuring neural oscillations in children and adults

Shimon Amir, Concordia University:
Circadian rhythms: From clock genes to behavior

Caroline Palmer, McGill University:
Group dynamics: Nonlinear interactions arising in joint coordination tasks

Andreas Daffertshofer, Vrije Univ of Amsterdam, COSMOS Network:
Neural oscillations and criticality in motor control

The interplay between structural and functional brain networks is an urgent topic in neuroscience. Functional connectivity is often defined through the phase synchronization between activities at different network nodes, assessed via MEG or EEG. In addition to phase, the node activities have marked amplitudes. I illustrate how these amplitudes can affect the phase dynamics by approximating the node dynamics as self-sustaining, weakly non-linear oscillators. The corresponding neural population model allows us to deduce a phase dynamics in the form of a weakly nonlinear, coupled (Kuramoto) network, well-understood for its capacity to (de-)synchronize. Based on evidence from motor control experiments, I argue that phase and amplitude are distinct information carriers in large-scale neural networks.

Trainee Poster Session / Wine and cheese Reception
3:30-5:00, Bellini Bldg, 1st Floor Atrium
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Workshop on Nonlinear Dynamics Methods

Wednesday-Friday (9am-5pm), August 16-18

McGill University
Led by Professors Mike Richardson & Paula Silva, Center for Cognition and Action, University of Cincinnati

The Nonlinear Methods workshop will address methods of analysis from nonlinear dynamics and complexity theory and provide participants with first-hand experience in analyzing data for nonlinear structure. Methods include phase space reconstruction and recurrence quantification methods, sample entropy, and fractal methods. Participants will generate unique datasets that they learn to analyze, as well as have the opportunity to analyze data sets they bring to the workshop. Participants will leave the workshop with turn-key software for nonlinear analyses.

This hands-on workshop is available to registered trainee members of the CD-Create training network. This event is now closed.