Generalizing Complex Biological Signals

Abstract

Recent advances in neurotechnology have created the ability to interface with the nervous system at high resolution and precision. To date, sending and receiving data via these interfaces has required researchers to develop new signal processing algorithms for each user. This program seeks to generalize complex biological signals across users via new architectures and systems, thus producing a flexible neural interface protocol among users that can receive and react to environmental, physiological, and neural information. Future neurotechnology devices based on this generalized communication protocol may enable human-machine and human-human interaction for communication or distributing tasking to balance workload.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2018
Source ID
21549061ffcab13532e1e5dc328c4aa4

Tags

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

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