[Comp-neuro] FW: 6th UOttawa Computational Neuroscience Summer School

Andre Longtin alongtin at uottawa.ca
Fri Feb 15 20:31:23 CET 2013


SIXTH COMPUTATIONAL NEUROSCIENCE SUMMER SCHOOL
CENTER FOR NEURAL DYNAMICS
UNIVERSITY OF OTTAWA
JUNE 9-21, 2013

We are pleased to announce the 6th summer School in Computational Neuroscience, which will be held from Sunday June 9, 2013 until Friday June 21, 2013 inclusively. It is organized by the Center for Neural Dynamics at the University of Ottawa, and supported by the NSERC-CREATE program in Quantitative Biomedicine, the CIHR training program in Neurophysics and the Organization for Computational Neuroscience. This highly pedagogical course is directed at graduate students and postdoctoral fellows from the physical sciences (e.g. physics, applied mathematics, engineering, computer science) and the life sciences (e.g. neuroscience, biology, physiology, human kinetics) who wish to develop their skills in neural data analysis and in mathematical modeling of neural activity. The topics will range from cellular to systems neuroscience, with a focus on sensory and motor systems. There is no tuition fee for participants from academic institutions, and further, there is support for travel and accommodation based on need.

The course will consist of 3 hours of lectures in the mornings, followed by 3-hour MATLAB-based computer laboratories in the afternoons. Participants will pair up for these laboratories, and an effort will be made to pair someone from the life sciences with someone from the physical sciences. All classes and laboratories will be held on the main downtown campus of the University of Ottawa. The School will be held in English. All participants must also do a research project and 15-minute presentation. The course can also be taken for official credits, since it is a University of Ottawa three-credit graduate course (NSC8104). The mark for the course will be based on work done in the computer laboratories, on the presentation of a research project by the end of the course, plus a write-up to follow within a week. The first day of the school (Sunday June 9th) will consist of a refresher on linear differential equations, linear algebra and probability theory open to all participants, as well as an introduction to MATLAB.

Enrollment in the course will be limited to 40 participants. Apart from enjoying the numerous cultural activities of the capital city, there will also be opportunities to hike, swim or bungee-jump in the Gatineau hills nearby, or to go white-water rafting down the world-class Ottawa river.

MATH PRE-REQUISITES: Calculus I and II, first-year university level Linear Algebra  and Probability and Statistics.
LIFE SCIENCES PRE-REQUISITES: first-year university level life science courses for students in the physical sciences.

FACULTY

Prof. Maurice Chacron, Center for Nonlinear Dynamics, Dept. Physiology, McGill
Prof. John Lewis, Biology, University of Ottawa
Prof. Tim Lewis, Mathematics, University of California at Davis
Prof. André Longtin, Physics, Cellular and Molecular Medicine, University of Ottawa
Prof. Len Maler, Cellular and Molecular Medicine, University of Ottawa
Prof. Cathy E. Morris, Ottawa Hospital Research Institute and U. Ottawa
Prof. Georg Northoff, Institute of Mental Health Research, University of Ottawa
Prof. Jean-Philippe Thivierge, School of Psychology, University of Ottawa

TUITION
None for participants from academia. $2500 for participants from industry.
See the application form at:   http://www.neurodynamic.uottawa.ca/summer.html

ACCOMMODATION
Accommodation will be available at the Marchand Residence of the University of Ottawa, a few minutes walk away from the lecture hall and computer lab, cafeterias and downtown Ottawa with its restaurants, museums etc... Accommodation consists of a single room (with desk and internet access), with communal kitchen and living area and shared bathroom. The moderate cost will be announced shortly.

FINANCIAL SUPPORT
For those demonstrating the need, limited partial financial support for travel and accommodation will be available ONLY for students registered at canadian universities. Lunch and dinner will be covered for all participants. Support is provided by NSERC (CREATE training program in Quantitative Biomedicine, University of Ottawa) and CIHR (Neurophysics Training Grant, Universite Laval, McGill University and University of Ottawa). Also, two student/postdoctoral members of the Organization for Computational Neuroscience will be chosen to receive financial support for travel and accommodation.

IMPORTANT DATES

March 1st, 2013: Application, including a letter of recommendation sent to compneuro13 at uottawa.ca<mailto:compneuro13 at uottawa.ca>
March 10, 2013: Notification of acceptance and level of financial support.
March 20, 2013: Notification of acceptance by the participant.
Accommodation: as soon as possible after notification of acceptance, participants can reserve their accommodation online at reserve at uottawa.ca<mailto:reserve at uottawa.ca> or by phoning 1-888-564-4545.

REGISTER AT: www.neurodynamic.uottawa.ca/summer.html

CONTACT US: compneuro13 at uottawa.ca<mailto:compneuro10 at uottawa.ca>


SYLLABUS

1) Introduction to Linear and Nonlinear Dynamical Systems (Longtin)
     -solutions of linear differential equations
     -qualitative analysis of nonlinear differential equations

2) Single Neuron Models (Longtin and J. Lewis)
     -ionic models
     -simplified deterministic models
     -stochastic models

3) Neural Spike Train Analysis and Modeling  (Chacron)
     -basic statistics
     -autocorrelation, spectrum
     -information theory toolbox

4) Sensory Coding  (Maler)
     -artificial and naturalistic stimuli
     -modeling activity along the afferent pathways
     -modeling feedback
     -population coding and information theory

5) Synaptic Plasticity  (J. Lewis)
     -short term depression and facilitation
     -long term plasticity
     -implications for information processing

6) Coupled Neurons  (T. Lewis)
     -gap junction
     -excitatory and inhibitory synaptic coupling
     -effect of coupling on neural population behavior

7) Functional and Structural Networks  (Thivierge)
     -graph statistics
     -multi-scale networks
     -analyzing dynamics from multi-electrode arrays

8) Computational Neurotrauma  (Morris)

9) Dynamics of Resting State Activity and Psychiatric Illness (Northoff)
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