Linking Neural Dynamics and Coding: Correlations, Synchrony and Information.

October 3-8, 2010

Workshop at the Banff International Research Station.

Organizers: E. Shea-Brown (Washington), B. Doiron (Pittsburgh), K. Josic (Houston), N. Kopell (Boston), A. Longtin (Ottawa) and A. Reyes (NYU)

Computational Neuroscience Summer School, University of Ottawa

I direct the University of Ottawa Computational Neuroscience Summer School. Every year, this international graduate school brings together students in the physical and life sciences to learn to analyze brain activity, design predictive computational models of nervous system function, and collaborate on a short research project. You can find out more about it at .

Mathematical Neuroscience,

Centre de Recherche Mathematique, Universite de Montreal 2007

September 16 -19, 2007

Organizers: S. Coombes (Nottingham), A. Longtin (U. Ottawa), J. Rubin (Pittsburgh)

The goal of this workshop is to provide an overview of the current state of research in mathematical approaches to neuroscience. This vibrant area, seeded by successes in understanding nerve action potentials, dendritic processing, and the neural basis of EEG, has moved on to encompass increasingly sophisticated tools of modern applied mathematics. Included among these are Evans functions techniques for studying wave stability and bifurcation in tissue level models of synaptic and EEG activity, heteroclinic cycling in theories of olfactory coding, the use of geometric singular perturbation theory in understanding rhythmogenesis, stochastic differential equations describing inherent sources of neuronal noise, spike-density approaches to modelling network evolution, weakly nonlinear analysis of pattern formation, and the role of canards in organising neural dynamics.

Importantly the workshop will also address the novel application of such techniques in two half-day sessions, one on audition and the other on Parkinsonian tremor and deep brain stimulation. The workshop will hopefully lead to advances in the analysis of mathematically less tractable systems such as those with asymmetry and inhomogeneity, and in the understanding of the role that noise, delays, feedback and plasticity play in shaping the dynamic states of biological neural networks.

As part of the activities of the 2000-2001 Theme Year in Mathematical Methods in Biology and Medicine of the Centre de Recherches Mathématiques (CRM) of the Universite de Montreal, I organized an international workshop on


I also organized the HEBB SYMPOSIUM at the Fields Institute, University of Toronto in May 1994 (David Brillinger, UC Berkeley, co-organizer).