68 citations · 156 across the 8 of their papers we have counts for
8 papers
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang +11
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we…
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Anh Tuan Nguyen, Markus W. Drealan, Diu Khue Luu +6
Objective: Deep learning-based neural decoders have emerged as the prominent approach to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have mater…
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Tong Wu, Wenfeng Zhao, Edward Keefer +1
Understanding the coordinated activity underlying brain computations requires large-scale, simultaneous recordings from distributed neuronal structures at a cellular-level resoluti…
Achieving Super-Resolution with Redundant Sensing
Diu Khue Luu, Anh Tuan Nguyen, Zhi Yang
Analog-to-digital (quantization) and digital-to-analog (de-quantization) conversion are fundamental operations of many information processing systems. In practice, the precision of…
A Bio-inspired Redundant Sensing Architecture
Anh Tuan Nguyen, Jian Xu, Zhi Yang
Sensing is the process of deriving signals from the environment that allows artificial systems to interact with the physical world. The Shannon theorem specifies the maximum rate a…
Advancing System Performance with Redundancy: From Biological to Artificial Designs
Anh Tuan Nguyen, Jian Xu, Diu Khue Luu +2
Redundancy is a fundamental characteristic of many biological processes such as those in the genetic, visual, muscular and nervous system; yet its function has not been fully under…
Unsupervised Spike Sorting Based on Discriminative Subspace Learning
Mohammad Reza Keshtkaran, Zhi Yang
Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. In this paper, we present two unsupervised spike sorting…
A Fast, robust algorithm for power line interference cancellation in neural recording
Mohammad Reza Keshtkaran, Zhi Yang
Power line interference may severely corrupt neural recordings at 50/60 Hz and harmonic frequencies. In this paper, we present a robust and computationally efficient algorithm for…