Enhancing causal predictive power in recurrent network models of neural dynamics

Enhancing causal predictive power in recurrent network models of neural dynamics

By
INCF
Difficulty level
Intermediate
Speaker
Jiayi Zhang
Type
Video
Duration
11:51
Topic
Neural networks
General neuroscience

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

External Links
INCF
Neuroinformatics Assembly
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Session 5: Closing the discovery loop and digital twins