This course is part of the fifth session of talks from INCF’s Neuroinformatics Assembly 2024. The session includes several lectures, with a focus on the topic closing the discovery loop and digital twins
Session 5: Closing the discovery loop and digital twins
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
41:23
Speaker:
Virtual brain twins for medicine presented by Viktor Jirsa, PhD, Institut de Neurosciences des Systemès at the INCF Neuroinformatics Assembly 2024
2
2
Duration:
11:18
Speaker:
Merging predictive and generative models for the creation of digital twins presented by Randy McIntosh, Simon Fraser University at the INCF Neuroinformatics Assembly 2024
3
3
Duration:
13:36
Speaker:
Acute Stroke Imaging, Pushing the Boundaries of Existing Modalities with Machine Learning presented by Luca Giancardo, University of Texas Healh Science Center at Houston at the INCF Neuroinformatics Assembly 2024
4
4
Duration:
11:51
Speaker:
Enhancing causal predictive power in recurrent network models of neural dynamics presented by Jiayi Zhang, Lewis-Sigler Institute for Integrative Genomics at the INCF Neuroinformatics Assembly 2024