Abstract: Human hands can execute intricate and dexterous control of diverse objects. Decoding hand motions, especially estimating the force of each individual finger via surface electromyography ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...
Researchers at Tsinghua University and Microsoft have built SynthSmith, a pipeline that generates training tasks for code models entirely from scratch; no human-written examples needed. Their 7B model ...
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