5 papers
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…