Canadian Symposium for Computational Neuroscience
#CSCN
October 26-27, 2021
Program at a Glance
Day 1 – October 26th
| Time | Description | Speaker |
|---|---|---|
|
12:30–12:45PM |
Opening Remarks |
|
|
12:45–2:00PM |
(Session 1) Neural and Network Dynamics Underlying Biological Computation |
Chair: Wilten Nicola – University of Calgary
|
|
2:00–2:45PM |
Networking Break & Lightning Talks |
N/A |
|
2:45–4:00PM |
(Session 2) Dimensionality Reduction and Population Dynamics in Neural Data |
Chair: Majid Mohajerani – University of Lethbridge
|
|
4:15–5:15PM |
Keynote Presentation |
Day 2 – October 27th
| Time | Description | Speaker |
|---|---|---|
|
10:30AM–12:45 PM |
PARALLEL SESSIONS: Alberta Machine Intelligence Institute (AMII) Trainee Workshop and Computational Neuroscience Vision and Networking Meeting (11am) |
AMII
Canadian Brain Research Strategy/Scientific Advisory Committee |
|
12:45–2:00PM |
(Session 3) Network Neuroscience Across Scales: |
Chair: Joern Davidsen – University of Calgary Emma Towlson – University of Calgary |
|
2:00–2:45PM |
Networking Break & Lightning Talks |
N/A |
|
2:45–4:00PM |
(Session 4) Information Encoding by Neural Ensembles |
Chair: Aaron Gruber – University of Lethbridge Aaron Gruber – University of Lethbridge Moderator: Artur Luczak – University of Lethbridge |
|
4:15–5:15PM |
Awards Presentation & Closing Remarks |
Svenja Espenhahn, Project Manager, Campus Alberta Neuroscience
|
Trainee Workshop
NOTE: REGISTRATION FOR THE WORKSHOP IS NOW CLOSED
An interactive workshop valued at more than $500 is included in your registration! Sponsored and led by the Alberta Machine Intelligence Institute (Amii), the workshop will provide attendees with an understanding of artificial intelligence and machine learning in the real world. No prior knowledge in coding or programming is needed. Attendees will also have the opportunity to learn about how Amii researchers use machine learning to aid in the diagnosis of mental health disorders. Principal Researcher Sunil Kalmady and Amii Research Fellow Russ Greiner will give a short presentation on their work and answer any questions you may have. Below is an abstract of the study they will speak on.
Learning to Diagnose & Treat Psychiatric Disorders from fMRI and other Data
by Russell Greiner, Sunil Kalmady
An effective patient-specific treatment model identifies which treatment has the best chance of success for each individual patient, based on all available information about that patient. This presentation describes the task of learning such models – in general, a learned combination of many features that collectively predict the outcome – from a labeled dataset describing earlier patients, and their outcomes. It introduces the relevant ideas using real-world medical examples — here relating to diagnosing and treating psychiatric disorders (ADHD, schizophrenia and OCD) — and explains how this machine-learning approach differs from the task of finding individual biomarkers.
IMPORTANT: In order to take part in the Amii workshop, you must register for the symposium by October 20. Please note that participation in the workshop is not guaranteed if you register after this date.
Speaker Information
University of Waterloo
Krembil Research Institute
University of Toronto
Brain and Mind Research Institute (BMRI)
University of Ottawa
McGill University
Western University
University of Montreal
University of Calgary
Dalhousie University
University of California, Los Angeles
University of Lethbridge
McGill University
University of British Columbia
Lightning Talks
We are excited to provide trainees with the opportunity to present your own research through brief ‘Lightning Talk’ presentations. These presentations are available for the Postdoc, PhD, Masters, and Undergraduate levels, with $400 prizes available to the best talk presented in each category!
Lightning Talk guidelines are available here.
The deadline to submit was Friday, October 8 at 12:00PM MDT.
Registration Closed!
Thank you to our sponsors!
