Article

Computational Framework to Predict and Shape Human-Machine Interactions in Closed-loop, Co-adaptive Neural Interfaces

2024-05-26

Abstract excerpt

Neural interfaces can restore or augment human sensorimotor capabilities by converting high-bandwidth biological signals into control signals for an external device via a decoder algorithm. Leveraging user and decoder adaptation to create co-adaptive interfaces presents opportunities to improve usability and personalize devices. However, we lack principled methods to model and optimize the complex two-learner dyna...

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Identifiers and source

Literature Corpus work: fd7eb697-13d3-5154-8b13-373278732098
DOI: 10.1101/2024.05.23.595598

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