Skip to main navigation Skip to search Skip to main content

Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware

  • Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Article number016041
JournalJournal of Neural Engineering
Volume22
Issue number1
DOIs
StatePublished - Jan 2025

ASJC Scopus Subject Areas

  • Biomedical Engineering
  • Cellular and Molecular Neuroscience

Keywords

  • advanced driver assist systems
  • brain-computer interface
  • EEG
  • few-shot learning
  • neuromorphic hardware
  • spiking neural networks
  • transfer learning
  • Neural Networks, Computer
  • Electroencephalography/methods
  • Humans
  • Transfer, Psychology/physiology
  • Male
  • Machine Learning
  • Intention
  • Adult
  • Female
  • Automobile Driving/psychology

Fingerprint

Dive into the research topics of 'Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware'. Together they form a unique fingerprint.

Cite this