World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11796
World Ranking
5811
National Ranking
2642

Overview

Brendan Z. Allison is affiliated with the University of California, San Diego in the United States. Their research spans multiple disciplines including Neuroscience, Engineering, and Medicine, with a primary focus on Cognitive Neuroscience and several related subfields.

The scientist's work notably centers on areas such as EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, and Stroke Rehabilitation and Recovery. Additional topics include Muscle activation and electromyography studies, Gaze Tracking and Assistive Technology, Advanced Memory and Neural Computing, and Neural and Behavioral Psychology Studies.

Brendan Z. Allison has contributed to a variety of peer-reviewed journals, with frequent publications in Frontiers in Neuroscience, TUGraz OPEN Library (Graz University of Technology), Frontiers for Young Minds, Psychophysiology, and Nature Reviews Bioengineering.

Among the recent publications are:

  • Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients-A Feasibility Study, 2020, Frontiers in Neuroscience
  • EEG Biomarkers Related With the Functional State of Stroke Patients, 2020, Frontiers in Neuroscience
  • 30+ years of P300 brain-computer interfaces, 2020, Psychophysiology
  • Translation of neurotechnologies, 2024, Nature Reviews Bioengineering
  • Brain-computer interface treatment for gait rehabilitation in stroke patients, 2023, Frontiers in Neuroscience

The scientist collaborates frequently with other researchers. Their regular co-authors include Christoph Guger, Rupert Ortner, Jing Jin, Andrzej Cichocki, and Marc Sebastián-Romagosa.

Best Publications

  • The Hybrid BCI

    Gert Pfurtscheller;Brendan Z. Allison;Clemens Brunner;Gunther Bauernfeind

  • Brain–computer interface systems: progress and prospects

    Brendan Z Allison;Elizabeth Winter Wolpaw;Jonathan R Wolpaw

  • Towards an independent brain–computer interface using steady state visual evoked potentials

    Brendan Z. Allison;Dennis J. McFarland;Gerwin Schalk;Shi Dong Zheng

  • P300 brain computer interface: current challenges and emerging trends

    Reza Fazel-Rezai;Brendan Z. Allison;Christoph Guger;Eric W. Sellers

  • BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?

    Brendan Allison;Thorsten Luth;Diana Valbuena;Amir Teymourian

  • Could Anyone Use a BCI

    Brendan Zachary Allison;Christa Neuper;Christa Neuper

  • Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction

    Bernhard Graimann;Brendan Z. Allison;Gert Pfurtscheller

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Toward a hybrid brain-computer interface based on imagined movement and visual attention.

    Brendan Zachary Allison;Clemens Brunner;Vera Kaiser;Gernot Müller-Putz

  • Brain-Computer Interfaces: A Gentle Introduction

    Bernhard Graimann;Brendan Allison;Gert Pfurtscheller

  • An SSVEP BCI to Control a Hand Orthosis for Persons With Tetraplegia

    R Ortner;B Z Allison;G Korisek;H Gaggl

  • The effects of self-movement, observation, and imagination on /spl mu/ rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI)

    J.A. Pineda;B.Z. Allison;A. Vankov

  • A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

    Christian Mühl;Brendan Allison;Anton Nijholt;Guillaume Chanel

  • ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system

    B.Z. Allison;J.A. Pineda

  • Brain-Computer Interfaces

    Bernhard Graimann;Gert Pfurtscheller;Brendan Allison

  • Workload assessment of computer gaming using a single-stimulus event-related potential paradigm

    Brendan Z. Allison;John Polich

  • Comparison of dry and gel based electrodes for p300 brain-computer interfaces.

    Christoph Guger;Gunther Krausz;Brendan Z. Allison;Guenter Edlinger

  • How Many People Could Use an SSVEP BCI

    Christoph Guger;Brendan Z. Allison;Bernhard Großwindhager;Robert Prückl

  • BCI meeting 2005-workshop on signals and recording methods

    J.R. Wolpaw;G.E. Loeb;B.Z. Allison;E. Donchin

  • Method and system for a real time adaptive system for effecting changes in cognitive-emotive profiles

    Jaime A. Pineda;Brendan Z. Allison

  • An adaptive P300-based control system.

    Jing Jin;Brendan Zachary Allison;Eric Sellers;Clemens Brunner

Frequent Co-Authors

Christoph Guger
Christoph Guger Graz University of Technology
Clemens Brunner
Clemens Brunner University of Graz
Christa Neuper
Christa Neuper University of Graz
Jing Jin
Jing Jin East China University of Science and Technology
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Anton Nijholt
Anton Nijholt University of Twente
Reinhold Scherer
Reinhold Scherer University of Essex
Jaime A. Pineda
Jaime A. Pineda University of California, San Diego

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