Decoding Local Field Potentials for Neural Interfaces

IEEE Trans Neural Syst Rehabil Eng. 2017 Oct;25(10):1705-1714. doi: 10.1109/TNSRE.2016.2612001. Epub 2016 Nov 14.

Abstract

The stability and frequency content of local field potentials (LFPs) offer key advantages for long-term, low-power neural interfaces. However, interpreting LFPs may require new signal processing techniques which should be informed by a scientific understanding of how these recordings arise from the coordinated activity of underlying neuronal populations. We review current approaches to decoding LFPs for brain-machine interface (BMI) applications, and suggest several directions for future research. To facilitate an improved understanding of the relationship between LFPs and spike activity, we share a dataset of multielectrode recordings from monkey motor cortex, and describe two unsupervised analysis methods we have explored for extracting a low-dimensional feature space that is amenable to biomimetic decoding and biofeedback training.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials / physiology*
  • Animals
  • Brain / physiology
  • Brain-Computer Interfaces*
  • Haplorhini
  • Humans
  • Macaca mulatta
  • Signal Processing, Computer-Assisted