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Session 5: Closing the discovery loop and digital twins

By
Level
Intermediate

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

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

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

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