Suggestions and Feedback? Email us at krembil.centre@camh.ca
The Krembil Centre for Neuroinformatics at CAMH || Looking for more? Email us at krembil.centre@camh.ca
The Krembil Centre for Neuroinformatics collaborates globally to collect and integrate large-scale brain research data, apply machine learning and artificial intelligence, and develop multiscale computational models that can transform our understanding of brain disorders. Our open, team science approach focuses on bridging the levels of the brain, from genes to circuits and from whole brains to the whole person, in order to better define, prevent and treat mental illnesses.
From here you'll be able to learn more about the Krembil Centre for Neuroinformatics upcoming and past events, resources, newsletter articles and more!
The KCNI Speaker Series
The Krembil Centre for Neuroinformatics was pleased to launch a new Speaker Series highlighting exciting discoveries, advancements and collaborations in Neuroinformatics.
The series features speakers from a wide range of backgrounds, expressing the diversity of the Krembil Centre’s scientific breadth. Each month we will hear a new perspective on the current state of multi-scale neuroscience, from gene to circuits, from brain dynamics to cognitive modeling and populations. READ MORE.
Missed the talk? Watch the recordings here.
Upcoming Speakers:
For more information and event details. Click here.
Dr. Philip De Jager
Columbia University
October 27, 2020 @ 11-12pm
Topic: Cell population structure of the aging brain: towards a high-resolution perspective of human neurodegeneration.
Dr. Stephanie Jones
Brown University
November 23, 2020 @ 1-2pm
Topic: Biophysically Principled Neural Modeling of EEG to Guide Interpretation and Design of Non-Invasive Brain Stimulation.
Dr. Frances Skinner
Krembil Research Institute
December 16, 2020 @ 1-2pm
Topic: TBD
News / Resources
At the Krembil Centre for Neuroinformatics, we work in an open, team science environment—with an emphasis on reproducible and accessible results.
Our centre is designed to foster collaboration, spark conversations and drive convergence.
Our team employs machine learning, artificial intelligence and computational modeling to integrate and analyze data across scales, including genomics, proteomics, electrophysiology, brain imaging, mobile and wearables, demographics, and environmental data. Teams collaboratively conduct multi-scale modelling studies to bridge the various levels of structure and function in the brain—from genes to circuits to behaviour, including wakefulness and sleep.
Noteworthy Updates:
To read more from our Centre: Click here.
The BrainHealth Databank Initiative
- Working together to collect and use high quality data to advance personalized care
- Rapid Expansion and Transition to Remote Measurement-Based Care in Response to COVID-19
- Linking Biobank Samples with Structured Measurement-Base Care Pathways
- Defining a Platform to Support Care and the Integration of Research in the Clinic
- Enhancing and building core infrastructure – technology, processes, and policy – to support a Learning Health System
Overview
Content Tools