Transitioning from global to local computational strategies during brain-machine interface learning

When learning to use a brain-machine interface (BMI), the brain modulates neuronal activity patterns, exploring and exploiting the state space defined by their neural manifold. Neurons directly involved in BMI control (i.e., direct neurons) can display marked changes in their firing patterns during...

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Bibliographic Details
Main Authors: Nathaniel R. Bridges, Matthew Stickle, Karen A. Moxon
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1371107/full