Rapid adaptation of brain–computer interfaces to new neuronal ensembles or participants via generative modelling

Volume: 7, Issue: 4, Pages: 546 - 558
Published: Nov 18, 2021
Abstract
For brain–computer interfaces (BCIs), obtaining sufficient training data for algorithms that map neural signals onto actions can be difficult, expensive or even impossible. Here we report the development and use of a generative model—a model that synthesizes a virtually unlimited number of new data distributions from a learned data distribution—that learns mappings between hand kinematics and the associated neural spike trains. The generative...
Paper Details
Title
Rapid adaptation of brain–computer interfaces to new neuronal ensembles or participants via generative modelling
Published Date
Nov 18, 2021
Volume
7
Issue
4
Pages
546 - 558
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