228
Views
1
CrossRef citations to date
0
Altmetric
Articles

A Functional BCI Model by the P2731 working group: Physiology

ORCID Icon, , ORCID Icon, &
Pages 54-81 | Received 26 Jan 2021, Accepted 12 Aug 2021, Published online: 05 Sep 2021
 

ABSTRACT

The development of Brain–Computer Interfaces (BCIs) requires specialists in various fields, including engineering, computer science, medicine and neuroscience. Each of these disciplines possesses a specific and sometimes differing terminology, which creates obstacles to mutual understanding and research collaboration. The IEEE P2731 working group aims to improve communication among BCI researchers by developing a functional model and standard glossary that can be used in all relevant fields. This article describes the anatomical regions of the brain and physiological processes commonly used by BCI applications. It serves as an introduction to neurophysiology for engineers and other non-specialists, and it offers background to articles on the IEEE P2731 Functional Model and Glossary available elsewhere in this special issue.

Acknowledgments

While this paper was produced by a subset of the IEEE P2731 working group, it must be noted that the paper is the culmination of the work of the entire IEEE P2731 working group. While not all members of that working group are listed as authors of this paper, their work provided its foundation, and, as of this writing, the efforts to produce the P2731 Glossary and Functional Model are ongoing.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 197.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.