D. McFarland

D J McFarland, J R Wolpaw, T M Vaughan, 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Toward enhanced P 300 speller performance

J. Wolpaw, D. McFarland, T. Vaughan, 2007 .

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

J. Wolpaw, D. McFarland, D. Reinkensmeyer, 2018, Journal of neural engineering.

Electrocorticogram as a Brain-Computer Interface Signal Source

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

BioSig: An Open-Source Software Library for BCI Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

General Signal Processing and Machine Learning Tools for BCI Analysis

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Questionable reliability of the speech-evoked auditory brainstem response (sABR) in typically-developing children

D. McFarland, A. Cacace, 2012, Hearing Research.

P 300-based brain-computer interface ( BCI ) event-related potentials ( ERPs ) : People with amyotrophic lateral sclerosis ( ALS ) vs . age-matched controls

Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw, 2015 .

Electrophysiological markers of skill-related neuroplasticity

Dennis J. McFarland, D. McFarland, S. Romero, 2008, Biological Psychology.

Spectral dynamics of electroencephalographic activity during auditory information processing

D. McFarland, A. Cacace, 2003, Hearing Research.

EEG correlates of P 300-based brain – computer interface ( BCI ) performance in people with amyotrophic lateral sclerosis

Jonathan R Wolpaw, Eric W Sellers, Theresa M Vaughan, 2012 .

How neuroscience can inform the study of individual differences in cognitive abilities

D. McFarland, 2017, Reviews in the neurosciences.

Mouse phenotype modulates the behavioral effects of acute thiamine deficiency

D. McFarland, 1985, Physiology & Behavior.

Temporal-order discrimination for selected auditory and visual stimulus dimensions.

D. McFarland, A. Cacace, G. Setzen, 1998, Journal of speech, language, and hearing research : JSLHR.

Controversies in Central Auditory Processing Disorder

D. McFarland, A. Cacace, 2008 .

EEG-based communication and control: short-term role of feedback.

J R Wolpaw, L M McCane, D J McFarland, 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Separating stimulus-locked and unlocked components of the auditory event-related potential

Dennis J McFarland, D. McFarland, A. Cacace, 2004, Hearing Research.

Who is at risk for addiction?

D. McFarland, 1996, Behavioral and Brain Sciences.

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Graz-Brain-Computer Interface: State of Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Toward Brain-Computer Interfacing (Neural Information Processing)

Terrence J. Sejnowski, José del R. Millán, Klaus-Robert Müller, 2007 .

BCI Systems and Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex

W. A. Sarnacki, J. Wolpaw, D. McFarland, 2018, Front. Neurosci..

Temporal Processing Deficits in Remediation-Resistant Reading-Impaired Children

D. McFarland, A. Cacace, John R. Ouimet, 2000, Audiology and Neurotology.

Anomalous cross-modal plasticity following posterior fossa surgery: Some speculations on gaze-evoked tinnitus

D. McFarland, A. Cacace, S. Parnes, 1994, Hearing Research.

The importance of modality specificity in diagnosing central auditory processing disorder.

D. McFarland, A. Cacace, 2005, American journal of audiology.

Individual differences and the reliability of 2F1-F2 distortion-product otoacoustic emissions: effects of time-of-day, stimulus variables, and gender.

D. McFarland, A. Cacace, W. McClelland, 1996, Journal of speech and hearing research.

Aspects of short-term acoustic recognition memory: modality and serial position effects.

D. McFarland, A. Cacace, 1992, Audiology : official organ of the International Society of Audiology.

Reliability of broadband middle-ear power reflectance in younger and older adults: application of generalizability theory.

D. McFarland, A. Cacace, Marty J Mahoney, 2013, American journal of audiology.

EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning

D. McFarland, Ellyn A Riley, Ellyn A. Riley, 2017, Front. Hum. Neurosci..

Brain–computer interfaces and personhood: interdisciplinary deliberations on neural technology

D. McFarland, J. Chandler, Deanna Groetzinger, 2019, Journal of neural engineering.

Invasive BCI Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Covariance is the proper measure of test–retest reliability

D. McFarland, A. Cacace, 2011, Clinical Neurophysiology.

BCI Signal Processing: Feature Extraction

Dean J. Krusienski, Jose C. Principe, Dennis J. McFarland, 2012 .

Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Jonathan R Wolpaw, Dennis J McFarland, J. Wolpaw, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Brain–computer interfaces for communication and control

Dennis J. McFarland, Jonathan R. Wolpaw, G. Pfurtscheller, 2002, Clinical Neurophysiology.

Therapeutic Applications of BCI Technologies.

Chadwick Boulay, Dennis J McFarland, D. McFarland, 2017, Brain computer interfaces.

BCI-based sensorimotor rhythm training can affect individuated finger movements

David J. Reinkensmeyer, Eric T. Wolbrecht, Dennis J. McFarland, 2020 .

Effects of training pre-movement sensorimotor rhythms on behavioral performance

Jonathan R Wolpaw, Dennis J McFarland, W. A. Sarnacki, 2015, Journal of neural engineering.

Conversion of EEG activity into cursor movement by a brain-computer interface (BCI)

G. Pfurtscheller, G.E. Fabiani, D.J. McFarland, 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Factor-Analytic Evidence for the Complexity of the Delis–Kaplan Executive Function System (D-KEFS)

D. McFarland, 2020, Assessment.

Timing of EEG-based cursor control.

G Pfurtscheller, J R Wolpaw, D J McFarland, 1997, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Binding of herpes simplex virus to regional areas of the rodent brain

D. McFarland, J. Hotchin, Fredrick D. Baker, 1982, Journal of the Neurological Sciences.

Host genetics and the behavioral sequelae to herpes encephalitis in mice

D. McFarland, J. Hotchin, 1983, Physiology & Behavior.

Contrasting patterns of virus spread and neuropathology following microinjection of herpes simplex virus into the hippocampus or cerebellum of mice

D. McFarland, J. Hotchin, 1987, Journal of the Neurological Sciences.

Age at infection as a determinant of the behavioral effects of herpes encephalitis in mice

D. McFarland, J. Hotchin, E. Sikora, 1981 .

Stereotaxic microinjection of HSV-1 selectively decreases striatal dopamine concentrations in mice

D. McFarland, R. Seegal, 1988, Brain Research.

Classification of evoked potentials by Pearson's correlation in a brain-computer interface

Dennis J. McFarland, Theresa M. Vaughan, François Cabestaing, 2007 .

EEG-Based Brain-Computer Interfaces.

J R Wolpaw, D J McFarland, J. Wolpaw, 2017, Current opinion in biomedical engineering.

Response to Katz and Tillery (2005), Musiek, Bellis, and Chermak (2005), and Rosen (2005).

D. McFarland, A. Cacace, 2005, American journal of audiology.

Spatial filter selection for EEG-based communication.

J R Wolpaw, D J McFarland, L. M. McCane, 1997, Electroencephalography and clinical neurophysiology.

Temporal development of the behavioral effects of herpes encephalitis in mice

D. McFarland, 1989 .

The production of focal herpes encephalitis in mice by stereotaxic inoculation of virus Anatomical and behavioral effects

D. McFarland, J. Hotchin, E. Sikora, 1986, Journal of the Neurological Sciences.

BCI2000: a general-purpose brain-computer interface (BCI) system

N. Birbaumer, D.J. McFarland, J.R. Wolpaw, 2004, IEEE Transactions on Biomedical Engineering.

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

Dean J Krusienski, Jonathan R Wolpaw, Dennis J McFarland, 2006, Progress in brain research.

Host and viral genetic determinants of the behavioral effects of scrapie encephalopathy

D. McFarland, J. Hotchin, F. Baker, 1980, Physiology & Behavior.

Modeling Individual Subtests of the WAIS IV with Multiple Latent Factors

D. McFarland, 2013, PloS one.

Cutaneous-Evoked Tinnitus

Dennis J. McFarland, D. McFarland, A. Cacace, 1999, Audiology and Neurotology.

The advantages of the surface Laplacian in brain-computer interface research.

Dennis J McFarland, D. McFarland, 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

A scanning protocol for a sensorimotor rhythm-based brain–computer interface

Christa Neuper, Dennis J. McFarland, Peter Brunner, 2009, Biological Psychology.

An Evaluation of Autoregressive Spectral Estimation Model Order for Brain-Computer Interface Applications

D.J. McFarland, J.R. Wolpaw, D.J. Krusienski, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain-computer interface (BCI) operation: signal and noise during early training sessions

Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw, 2005, Clinical Neurophysiology.

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Ricardo Chavarriaga, Anton Nijholt, Reinhold Scherer, 2017, Brain computer interfaces.

Modality Specificity as a Criterion for Diagnosing Central Auditory Processing Disorders

D. McFarland, A. Cacace, 1995 .

Effects of scopolamine, d-amphetamine, and apomorphine on alternation and position biases

D. McFarland, 1989, Pharmacology Biochemistry and Behavior.

Brain-computer interface technology: a review of the first international meeting.

E Donchin, J R Wolpaw, D J McFarland, 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Brain-computer interfaces for communication and control

J. Wolpaw, D. McFarland, 2011, Commun. ACM.

Brain-Computer Interfaces for the Operation of Robotic and Prosthetic Devices

Dennis J. McFarland, Jonathan R. Wolpaw, J. Wolpaw, 2010, Adv. Comput..

The Wadsworth Center brain-computer interface (BCI) research and development program

D.J. McFarland, J.R. Wolpaw, G. Schalk, 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Electroencephalographic(EEG)-based communication: EEG control versus system performance in humans

Dennis J. McFarland, Jonathan R. Wolpaw, William A. Sarnacki, 2003, Neuroscience Letters.

Simulating the effects of common and specific abilities on test performance: an evaluation of factor analysis.

D. McFarland, 2014, Journal of speech, language, and hearing research : JSLHR.

Central deafness in a young child with Moyamoya disease: paternal linkage in a Caucasian family: two case reports and a review of the literature.

D. McFarland, A. Cacace, G. Setzen, 1999, International journal of pediatric otorhinolaryngology.

Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

Jonathan R Wolpaw, Eric W Sellers, Theresa M Vaughan, 2018, Neurology.

Toward enhanced P300 speller performance

E. W. Sellers, D. J. McFarland, J. R. Wolpaw, 2008, Journal of Neuroscience Methods.

Brain–computer interface use is a skill that user and system acquire together

Jonathan R Wolpaw, Dennis J McFarland, J. Wolpaw, 2018, PLoS biology.

Adaptive Spatio-Temporal Filtering for Movement Related Potentials in EEG-Based Brain–Computer Interfaces

Jun Lu, Kan Xie, Dennis J. McFarland, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The P300-based brain–computer interface (BCI): Effects of stimulus rate

Dennis J. McFarland, Jonathan R. Wolpaw, William A. Sarnacki, 2011, Clinical Neurophysiology.

A comparison of classification techniques for the P300 Speller

Dean J Krusienski, Jonathan R Wolpaw, François Cabestaing, 2006, Journal of neural engineering.

EEG-based communication: improved accuracy by response verification.

G Pfurtscheller, H Ramoser, J R Wolpaw, 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

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

D.J. McFarland, J.R. Wolpaw, G. Schalk, 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Central auditory processing disorder in school-aged children: a critical review.

D. McFarland, A. Cacace, 1998, Journal of speech, language, and hearing research : JSLHR.

Emulation of computer mouse control with a noninvasive brain–computer interface

Dean J Krusienski, Jonathan R Wolpaw, Dennis J McFarland, 2008, Journal of neural engineering.

A comparison of regression techniques for a two-dimensional sensorimotor rhythm-based brain–computer interface

Jonathan R Wolpaw, Joan Fruitet, Dennis J McFarland, 2010, Journal of neural engineering.

Evaluation of multidimensional models of WAIS-IV subtest performance

D. McFarland, 2017, The Clinical neuropsychologist.

Defining perception and cognition

Dennis J. McFarland, D. McFarland, A. Cacace, 1999, Behavioral and Brain Sciences.

Factor analysis in CAPD and the "unimodal" test battery: do we have a model that will satisfy?

D. McFarland, A. Cacace, 2002, American journal of audiology.

Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Use of phase-locking value in sensorimotor rhythm-based brain–computer interface: zero-phase coupling and effects of spatial filters

Minyou Chen, Dennis J. McFarland, Wenjuan Jian, 2017, Medical & Biological Engineering & Computing.

Prediction of subjective ratings of emotional pictures by EEG features

Jonathan R Wolpaw, Rita Z. Goldstein, Dennis J McFarland, 2017, Journal of neural engineering.

Word-level language modeling for P300 spellers based on discriminative graphical models

Müjdat Çetin, Adriana de Pesters, Jaime F Delgado Saa, 2015, Journal of neural engineering.

Characterizing multivariate decoding models based on correlated EEG spectral features

Dennis J. McFarland, D. McFarland, 2013, Clinical Neurophysiology.

Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface

Dean J. Krusienski, Dennis J. McFarland, Jonathan R. Wolpaw, 2012, Brain Research Bulletin.

Trained modulation of sensorimotor rhythms can affect reaction time

D. J. McFarland, J. R. Wolpaw, W. A. Sarnacki, 2011, Clinical Neurophysiology.

Should the parameters of a BCI translation algorithm be continually adapted?

Dennis J. McFarland, Jonathan R. Wolpaw, William A. Sarnacki, 2011, Journal of Neuroscience Methods.

Sensorimotor rhythm-based brain–computer interface (BCI): model order selection for autoregressive spectral analysis

Jonathan R Wolpaw, Dennis J McFarland, J. Wolpaw, 2008, Journal of neural engineering.

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

J.R. Wolpaw, G. Schalk, D.J. Krusienski, 2007, IEEE Transactions on Biomedical Engineering.

Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance

D.J. McFarland, J.R. Wolpaw, J. Wolpaw, 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

EEG-Based Communication and Control: Speed–Accuracy Relationships

Jonathan R Wolpaw, Dennis J McFarland, J. Wolpaw, 2003, Applied psychophysiology and biofeedback.

Acoustic pattern recognition and short-term memory in normal adults and young children.

D. McFarland, A. Cacace, 1992, Audiology : official organ of the International Society of Audiology.

Factors influencing tests of auditory processing: a perspective on current issues and relevant concerns.

D. McFarland, A. Cacace, 2013, Journal of the American Academy of Audiology.

EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement

Minyou Chen, Dennis J. McFarland, Wenjuan Jian, 2017, Brain Research Bulletin.

A single g factor is not necessary to simulate positive correlations between cognitive tests

D. McFarland, 2012, Journal of clinical and experimental neuropsychology.

BCIs in the Laboratory and at Home: The Wadsworth Research Program

Dennis J. McFarland, Jonathan R. Wolpaw, Eric W. Sellers, 2009 .

International Assessment of Research and Development in Brain-Computer Interfaces. WTEC Panel Report

Theodore W. Berger, Jose C. Principe, Dawn M. Taylor, 2007 .

Use of phase-locking value in sensorimotor rhythm-based brain–computer interface: zero-phase coupling and effects of spatial filters

D. McFarland, Minyou Chen, Wenjuan Jian, 2017, Medical & Biological Engineering & Computing.

Modality specificity of auditory and visual pattern recognition: implications for the assessment of central auditory processing disorders.

D J McFarland, A T Cacace, D. McFarland, 1997, Audiology.

Adaptive Laplacian filtering for sensorimotor rhythm-based brain–computer interfaces

Jun Lu, Jonathan R Wolpaw, Dennis J McFarland, 2013, Journal of neural engineering.

Tracking of the Mu Rhythm using an Empirically Derived Matched Filter

D.J. McFarland, J.R. Wolpaw, G. Schalk, 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

Noninvasive Communication Systems

Dennis J. McFarland, D. McFarland, 2008 .

Adaptation in Brain-Computer Interfaces

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Comparisons of memory for nonverbal auditory and visual sequential stimuli

D. McFarland, A. Cacace, 1995, Psychological research.

Brain-Computer Interfaces: An international assessment of research and development trends

Theodore W. Berger, Jose C. Principe, Dawn M. Taylor, 2008 .

Considering Complex Models of Cognitive Abilities

D. McFarland, 2019, Journal of Applied Research in Memory and Cognition.

BCIs That Use Sensorimotor Rhythms

Gert Pfurtscheller, Dennis J. McFarland, G. Pfurtscheller, 2012 .

Brain-Computer Interface Operation of Robotic and Prosthetic Devices

Dennis J. McFarland, Jonathan R. Wolpaw, J. Wolpaw, 2008, Computer.

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

K.-R. Muller, C.W. Anderson, A. Schlogl, 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Brain‐computer interfaces for amyotrophic lateral sclerosis

Dennis J McFarland, D. McFarland, 2020, Muscle & nerve.

Cutaneous-Evoked Tinnitus

Dennis J. McFarland, D. McFarland, A. Cacace, 1999, Audiology and Neurotology.

Modality specificity is the preferred method for diagnosing the auditory processing disorder (APD): response to Moore and Ferguson.

D. McFarland, A. Cacace, 2014, Journal of the American Academy of Audiology.

Quantifying signal-to-noise ratio of mismatch negativity in humans

Dennis J McFarland, D. McFarland, A. Cacace, 2003, Neuroscience Letters.

An Introduction to Brain-Computer Interfacing

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Brain-Computer Interfaces for Communication and Motor Control—Perspectives on Clinical Applications

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

BCI in practice.

D J McFarland, T M Vaughan, D. McFarland, 2016, Progress in brain research.

Symptoms as latent variables

Loretta S. Malta, D. McFarland, 2010, Behavioral and Brain Sciences.

Brain–computer interfaces for communication and control

J. Wolpaw, D. McFarland, N. Birbaumer, 2002, Clinical Neurophysiology.

Dichotic and dichoptic digit perception in normal adults.

D. McFarland, A. Cacace, Angela Lawfield, 2011, Journal of the American Academy of Audiology.

EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components.

G Pfurtscheller, J R Wolpaw, D Flotzinger, 1995, Medical progress through technology.

Brain-computer interface ( BCI ) evaluation in people with amyotrophic lateral sclerosis

J. Wolpaw, D. McFarland, T. Vaughan, 2015 .

BCI Signal Processing: Feature Translation

Dean J. Krusienski, Dennis J. McFarland, D. McFarland, 2012 .

Neural Alterations During Use of a P300-based BCI by Individuals with Amyotrophic Lateral Sclerosis*

Y. Shahriari, D. J. McFarland, D. J. Krusienski, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

The Effects of Using Partial or Uncorrected Correlation Matrices When Comparing Network and Latent Variable Models

D. McFarland, 2020, Journal of Intelligence.

An EEG-based method for graded cursor control

Dennis J. McFarland, Jonathan R. Wolpaw, Gregory W. Neat, 1993, Psychobiology.

Design and operation of an EEG-based brain-computer interface with digital signal processing technology

Dennis J. McFarland, Jonathan R. Wolpaw, A. Todd Lefkowicz, 1997 .

A comparison between auditory and visual feedback of sensorimotor rhythms (SMR) for a brain-computer interface (BCI) in healthy participants

Niels Birbaumer, Dennis J. McFarland, Femke Nijboer, 2006 .

Assessing short-term recognition memory with forced-choice psychophysical methods

D. McFarland, A. Cacace, J. Emrich, 1992, Journal of Neuroscience Methods.

EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement

D. McFarland, Minyou Chen, Wenjuan Jian, 2017, Brain Research Bulletin.