Publications

Export 89 results:
Filters: Author is Dennis J. McFarland  [Clear All Filters]
2017
Jian W, Chen M, McFarland DJ. EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement. Brain research bulletin [Internet]. 2017;130:156–164. http://www.ncbi.nlm.nih.gov/pubmed/28161192PDF icon EEG based zero-phase phase-locking value (PLV) and effects of spatial filtering during actual movement.pdf (1.96 MB)
Riley EA, McFarland DJ. EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning. Frontiers in human neuroscience [Internet]. 2017;11:140. http://www.ncbi.nlm.nih.gov/pubmed/28396630PDF icon EEG Error Prediction as a Solution for Combining the Advantages of Retrieval Practice and Errorless Learning.pdf (799.04 KB)
McFarland DJ. Evaluation of multidimensional models of WAIS-IV subtest performance. The Clinical neuropsychologist [Internet]. 2017;:1–14. http://www.ncbi.nlm.nih.gov/pubmed/28430031PDF icon Evaluation of multidimensional models of WAIS-IV subtest performance.pdf (1.3 MB)
McFarland DJ. How neuroscience can inform the study of individual differences in cognitive abilities. Reviews in the neurosciences [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28195556PDF icon How neuroscience can inform the study of individual differences in cognitive abilities.pdf (191.47 KB)
McFarland DJ, Parvaz MA, Sarnacki WA, Goldstein RZ, Wolpaw JR. Prediction of subjective ratings of emotional pictures by EEG features. Journal of neural engineering [Internet]. 2017;14:016009. http://www.ncbi.nlm.nih.gov/pubmed/27934776PDF icon Prediction of subjective ratings of emotional pictures by EEG features.pdf (851.25 KB)
Jian W, Chen M, McFarland DJ. Use of phase-locking value in sensorimotor rhythm-based brain-computer interface: zero-phase coupling and effects of spatial filters. Medical & biological engineering & computing [Internet]. 2017;. http://www.ncbi.nlm.nih.gov/pubmed/28343333PDF icon Use of phase-locking value in sensorimotor rhythm-based brain-computer interface- zero-phase coupling and effects of spatial filters.pdf (1.26 MB)
2014
Lu J, Xie K, McFarland DJ. Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2014;22(4):847-57. http://www.ncbi.nlm.nih.gov/pubmed/24723632PDF icon Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces.pdf (1.81 MB)
McFarland DJ. The advantages of the surface Laplacian in brain-computer interface research. Int J Psychophysiol [Internet]. 2014;. http://www.ncbi.nlm.nih.gov/pubmed/25091286PDF icon The advantages of the surface Laplacian in brain computer interface research.pdf (1.24 MB)
McCane LM, Sellers EW, McFarland DJ, Mak JN, C Carmack S, Zeitlin D, et al.. Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener [Internet]. 2014;15(3-4):207-15. http://www.ncbi.nlm.nih.gov/pubmed/24555843PDF icon Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.pdf (1.22 MB)
McFarland DJ, Cacace AT. Modality specificity is the preferred method for diagnosing the auditory processing disorder (APD): response to Moore and Ferguson. J Am Acad Audiol [Internet]. 2014;25(7):698-9. http://www.ncbi.nlm.nih.gov/pubmed/25365373PDF icon Modality specificity is the preferred method for diagnosing the auditory processing disorder (APD) response to Moore and Ferguson.pdf (90.85 KB)
Cacace AT, McFarland DJ. Modality Specificity trumps other methods for diagnosing the auditory processing disorder (APD): response to Dillon et al. J Am Acad Audiol [Internet]. 2014;25(7):703-5. http://www.ncbi.nlm.nih.gov/pubmed/25365375PDF icon Modality specificity trumps other methods for diagnosing the auditory processing disorder (APD) response to Dillon et al.pdf (94.09 KB)
McFarland DJ. Simulating the effects of common and specific abilities on test performance: an evaluation of factor analysis. J Speech Lang Hear Res [Internet]. 2014;57(5):1919-28. http://www.ncbi.nlm.nih.gov/pubmed/24686438PDF icon Simulating the effects of common and specific abilities on test performance- an evaluation of factor analysis.pdf (157.51 KB)
2013
Lu J, McFarland DJ, Wolpaw JR. Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfaces. Journal of neural engineering [Internet]. 2013;10:016002. http://www.ncbi.nlm.nih.gov/pubmed/23220879PDF icon Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfaces.pdf (1.77 MB)
McFarland DJ. Characterizing multivariate decoding models based on correlated EEG spectral features. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Internet]. 2013;124:1297–1302. http://www.ncbi.nlm.nih.gov/pubmed/23466267PDF icon Characterizing multivariate decoding models based on correlated EEG spectral features.pdf (1.49 MB)
Cacace AT, McFarland DJ. Factors Influencing Tests of Auditory Processing: A Perspective on Current Issues and Relevant Concerns. Journal of the American Academy of Audiology [Internet]. 2013;24:572–589. http://www.ncbi.nlm.nih.gov/pubmed/24047945PDF icon Factors Influencing Tests of Auditory Processing- A Perspective on Current Issues and Relevant Concerns. .pdf (19.34 MB)
McFarland DJ. Modeling Individual Subtests of the WAIS IV with Multiple Latent Factors. PloS one [Internet]. 2013;8:e74980. http://www.ncbi.nlm.nih.gov/pubmed/24058643PDF icon Modeling individual subtests of the WAIS IV with multiple latent factors.pdf (155.95 KB)
Mahoney MJ, McFarland DJ, Carpenter MS, Rizvi S, Cacace AT. Reliability of broadband middle-ear power-reflectance in younger and older adults: Application of Generalizability Theory. American journal of audiology [Internet]. 2013;. http://www.ncbi.nlm.nih.gov/pubmed/23824437PDF icon Reliability of broadband middle-ear power-reflectance in younger and older adults- Application of Generalizability Theory. .pdf (510.45 KB)
2012
Mak JN, McFarland DJ, Vaughan TM, McCane LM, Tsui PZ, Zeitlin DJ, et al.. EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis. Journal of neural engineering [Internet]. 2012;9:026014. http://www.ncbi.nlm.nih.gov/pubmed/22350501PDF icon EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis.pdf (1.67 MB)
McFarland DJ, Cacace AT. Questionable reliability of the speech-evoked auditory brainstem response (sABR) in typically-developing children. Hear Res [Internet]. 2012;287(1-2):1-2; author reply 3-5. http://www.ncbi.nlm.nih.gov/pubmed/22446178PDF icon Questionable reliability of the speech-evoked auditory brainstem response (sABR) in typically developing children.pdf (99.57 KB)
McFarland DJ. A single g factor is not necessary to simulate positive correlations between cognitive tests. J Clin Exp Neuropsychol [Internet]. 2012;34(4):378-84. http://www.ncbi.nlm.nih.gov/pubmed/22260190PDF icon A single g factor is not necessary to simulate positive correlations between cognitive tests. .pdf (279.68 KB)
Krusienski DJ, McFarland DJ, Wolpaw JR. Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain-computer interface. Brain Res Bull [Internet]. 2012;87(1):130-4. http://www.ncbi.nlm.nih.gov/pubmed/21985984PDF icon Value of amplitude phase and coherence features for a sensorimotor rhythm based brain computer interface.pdf (1.16 MB)

Pages

You are here