Jonathan S. Brumberg, Ph.D.

Affiliations: 
Boston University, Boston, MA, United States 
Area:
speech motor control and perception
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Frank Guenther grad student 2009 Boston University
 (An electrophysiological investigation of human motor cortex and its application to speech restoration.)
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Publications

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Pitt KM, Brumberg JS, Burnison JD, et al. (2019) Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter. Perspectives of the Asha Special Interest Groups. 4: 1622-1636
Brumberg JS, Pitt KM. (2019) Motor-Induced Suppression of the N100 Event-Related Potential During Motor Imagery Control of a Speech Synthesizer Brain-Computer Interface. Journal of Speech, Language, and Hearing Research : Jslhr. 62: 2133-2140
Pitt KM, Brumberg JS. (2018) Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology. 1-15
Brumberg JS, Pitt KM, Burnison JD. (2018) A Noninvasive Brain-Computer Interface for Real-Time Speech Synthesis: The Importance of Multimodal Feedback. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 26: 874-881
Brumberg JS, Nguyen A, Pitt KM, et al. (2018) Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential. Disability and Rehabilitation. Assistive Technology. 1-9
Brumberg JS, Pitt KM, Mantie-Kozlowski A, et al. (2018) Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial. American Journal of Speech-Language Pathology. 1-12
Lotte F, Brumberg JS, Brunner P, et al. (2015) Electrocorticographic representations of segmental features in continuous speech. Frontiers in Human Neuroscience. 9: 97
Chakrabarti S, Sandberg HM, Brumberg JS, et al. (2015) Progress in speech decoding from the electrocorticogram Biomedical Engineering Letters. 5: 10-21
Stephen EP, Lepage KQ, Eden UT, et al. (2014) Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers in Computational Neuroscience. 8: 31
Brumberg JS, Lorenz SD, Galbraith BV, et al. (2012) The Unlock Project: a Python-based framework for practical brain-computer interface communication "app" development. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 2505-8
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