This course is part of the third session of talks from INCF’s Neuroinformatics Assembly 2024. The session includes several lectures, with a focus on the applications of AI to neuroscience research.
Session 3: Applications of AI to neuroscience research
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
44:28
Speaker:
On hammer-nail matching in the neuroscience application domain presented by Danilo Bzdok, MD, PhD, Mila - Quebec Artificial Intelligence Institute at the INCF Neuroinformatics Assembly 2024
2
2
Duration:
11:48
Speaker:
Feasibility of a Natural Language Query Interface for the SPARC Connectivity Knowledge Base presented by Fahim Imam, University of California, San Diego at the INCF Neuroinformatics Assembly 2024
3
3
Duration:
10:00
Speaker:
Explainable AI as a Tool for Investigating the Computational Bases of Cognitive Processing presented by Evie Malaia, University of Alabama at the INCF Neuroinformatics Assembly 2024
4
4
Duration:
10:51
Speaker:
Brain-computer interfaces: How Machine Learning Can Support Subject Training presented by José del R. Millán, University of Texas at Austin at the INCF Neuroinformatics Assembly 2024
5
5
Duration:
11:08
Speaker:
Applications of differentiable programming and generative AI in MRI presented by Christophe Lenglet, University of Minnesota Medical School at the INCF Neuroinformatics Assembly 2024
6
5
Duration:
7:42
Speaker:
Neurobagel and Nipoppy: A decentralized neuroinformatics framework for ML& AI presented by Jean-Baptiste Poline, Department of Neurology and Neurosurgery, McGill University at the INCF Neuroinformatics Assembly 2024
