3 papers
cs.LG2026
Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraining
Matthew J Bryan, Daniel C Muir, Felix Schwock +2
Objective: Model-based closed-loop neural stimulation holds promise for therapeutic applications ranging from Parkinson's disease to sensory restoration, but deployment has been li…
cs.AI2025
Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI
Rajesh P. N. Rao, Vishwas Sathish, Linxing Preston Jiang +2
The phenomenal advances in large language models (LLMs) and other foundation models over the past few years have been based on optimizing large-scale transformer models on the surp…
q-bio.NC2022
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping
Matthew J. Bryan, Linxing Preston Jiang, Rajesh P N Rao
Objective: A major challenge in designing closed-loop brain-computer interfaces is finding optimal stimulation patterns as a function of ongoing neural activity for different subje…