World's Best Scientists 2026 revealed!

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Computer Science

D-Index
38
Citations
11365
World Ranking
9978
National Ranking
4202

Overview

Dean J. Krusienski is affiliated with Old Dominion University in the United States and specializes in neuroscience, with a focus on cognitive neuroscience, electrical and electronic engineering, and related subfields. Their research addresses various aspects of brain function and neural activity, particularly emphasizing the interface between neural signals and computational systems.

The scientist's primary areas of study include:

  • Neuroscience
  • Cognitive Neuroscience
  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Signal Processing
  • Artificial Intelligence

Dean J. Krusienski's work encompasses several main research topics as well:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Hearing Loss and Rehabilitation
  • Functional Brain Connectivity Studies
  • Neuroscience and Music Perception

Frequent collaborators of Dean J. Krusienski include Christian Herff, Tanja Schultz, Jerry J. Shih, Pieter Kubben, and Pedram Z. Soroush. These coauthors have contributed to multiple publications together, suggesting ongoing research partnerships within the neuroscientific community.

The following is a selection of recent papers by Dean J. Krusienski and colleagues, showing the range and focus of their published research:

  • The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions, 2020, Frontiers in Neuroscience
  • Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity, 2021, Communications Biology
  • Editorial: Brain-Computer Interfaces and Augmented/Virtual Reality, 2020, Frontiers in Human Neuroscience
  • The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings, 2023, NeuroImage
  • Prefrontal High Gamma in ECoG Tags Periodicity of Musical Rhythms in Perception and Imagination, 2020, eNeuro

Dean J. Krusienski has frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Neuroscience, the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Brain-Computer Interfaces journal, and SLEEP. Their work reflects a multidisciplinary approach combining neuroscience, engineering, and computational methods to investigate brain-computer interfaces and neural processes.

Best Publications

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • A comparison of classification techniques for the P300 Speller

    Dean J Krusienski;Eric W Sellers;François Cabestaing;Sabri Bayoudh

  • Toward enhanced P300 speller performance

    D.J. Krusienski;E.W. Sellers;D.J. McFarland;T.M. Vaughan

  • Brain-Computer Interfaces in Medicine

    Jerry J. Shih;Dean J. Krusienski;Johnathan R. Wolpaw

  • A P300-based brain–computer interface for people with amyotrophic lateral sclerosis

    F. Nijboer;E.W. Sellers;J. Mellinger;M.A. Jordan

  • A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns

    G. Townsend;B.K. LaPallo;C.B. Boulay;D.J. Krusienski

  • A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.

    Eric W. Sellers;Dean J. Krusienski;Dennis J. McFarland;Theresa M. Vaughan

  • An auditory oddball (P300) spelling system for brain‐computer interfaces

    A. Furdea;S. Halder;D.J. Krusienski;D. Bross

  • The wadsworth BCI research and development program: at home with BCI

    T.M. Vaughan;D.J. McFarland;G. Schalk;W.A. Sarnacki

  • BCI meeting 2005-workshop on BCI signal processing: feature extraction and translation

    D.J. McFarland;C.W. Anderson;K.-R. Muller;A. Schlogl

  • Emulation of computer mouse control with a noninvasive brain-computer interface.

    Dennis J McFarland;Dean J Krusienski;William A Sarnacki;Jonathan R Wolpaw

  • Direct classification of all American English phonemes using signals from functional speech motor cortex

    Emily M Mugler;James L Patton;Robert D Flint;Zachary A Wright

  • Critical issues in state-of-the-art brain–computer interface signal processing

    Dean J Krusienski;Moritz Grosse-Wentrup;Ferran Galán;Damien Coyle

  • Speech synthesis from ECoG using densely connected 3D convolutional neural networks

    Miguel Angrick;Christian Herff;Christian Herff;Emily Mugler;Matthew C Tate

  • Biosignal-Based Spoken Communication: A Survey

    Tanja Schultz;Michael Wand;Thomas Hueber;Dean J. Krusienski

  • Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

    Haiqiang Wang;Yu Zhang;Nicholas R. Waytowich;Dean J. Krusienski

  • Improved signal processing approaches in an offline simulation of a hybrid brain–computer interface

    Clemens Brunner;Brendan Zachary Allison;Dean J. Krusienski;Vera Kaiser

  • Design and performance of adaptive systems based on structured stochastic optimization strategies

    D.J. Krusienski;W.K. Jenkins

  • Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices.

    Christian Herff;Lorenz Diener;Miguel Angrick;Emily M. Mugler

  • The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions.

    Christian Herff;Dean J. Krusienski;Pieter Kubben

  • Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms.

    Dennis J McFarland;Dean J Krusienski;Jonathan R Wolpaw

  • Particle swarm optimization for adaptive IIR filter structures

    D.J. Krusienski;W.K. Jenkins

  • A $\mu $ -Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface

    D.J. Krusienski;G. Schalk;D.J. McFarland;J.R. Wolpaw

Frequent Co-Authors

Tanja Schultz
Tanja Schultz University of Bremen
Jonathan R. Wolpaw
Jonathan R. Wolpaw National Center for Adaptive Neurotechnologies
Dennis J. McFarland
Dennis J. McFarland Wadsworth Center
Eric W. Sellers
Eric W. Sellers East Tennessee State University
Gerwin Schalk
Gerwin Schalk Sichuan University
Brendan Z. Allison
Brendan Z. Allison University of California, San Diego
Niels Birbaumer
Niels Birbaumer University of Tübingen
Peter Brunner
Peter Brunner Washington University in St. Louis
Andrea Kübler
Andrea Kübler University of Würzburg
Daniel W. Moran
Daniel W. Moran Washington University in St. Louis

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