Cited by 18EEG and Brain-Computer InterfacesCognitive Computing and NetworksGaze Tracking and Assistive Technology

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction

Saproo, Sameer, Faller, Josef, Shih, Victor, Sajda, Paul, Waytowich, Nicholas R., Bohannon, Addison, Lawhern, Vernon J., Lance, Brent J. +1 more·2016·Computer

Abstract

Unlike traditional brain-computer interfaces that use brain signals for direct control of computers and robotics, a cortically coupled computer system opportunistically senses the brain state, capturing a user's implicit or explicit computation, and then communicates this information to a traditional computer system via a neural interface.

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Crossref · 10.1109/mc.2016.294

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12 of 12 references verified0 citation errors · 0 not checkable

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Authors
Saproo, S., Faller, J., Shih, V., Sajda, P., Waytowich, N. R., Bohannon, A., Lawhern, V. J., Lance, B. J., & Jangraw, D.
Affiliations
  • Columbia University (US)
  • DEVCOM Army Research Laboratory (US)
  • National Institute of Mental Health (US)
Venue
Computer
Published
2016-09
Volume
49
Issue
9
Pages
60-68
ISSN
0018-9162 (ISSN-L)
OpenAlex
W2517744119
Cited by
18
References
12
Citations by year
2025: 3 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 2
FWCI
1.49
Type
journal article
Language
en
Open access
closed
Locations
Computer (publishedVersion)
Funders
Economic and Social Research Council (ES/L012995/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
brain-computer interface, neural interfaces, human-machine interaction, explicit computation, brain-computer communication

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