Pitt, K. M. and Brumberg, J. S. (2018). Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology, 1–15. doi:10.1044/2018_AJSLP-17-0135
Brumberg, J. S., Pitt, K. M., and Burnison, J. D. (2018). A non-invasive brain-computer interface for real-time speech synthesis: the importance of multimodal feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(4), 874–881. doi:10.1109/TNSRE.2018.2808425
Brumberg, J. S., Nguyen, A., Pitt, K. M., and Lorenz, S. D. (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. DOI: 10.1080/17483107.2018.1428369
Brumberg, J. S., Pitt, K. M., Mantie-Kozlowski, A. & Burnison, J. D. (2018). Brain-computer interfaces for augmentative and alternative communication: a tutorial. American Journal of Speech-Language Pathology. 1-12. DOI:10.1044/2017_AJSLP-16-0244
Schultz, T. Wand, M. Hueber, T. Krusienski, D. J., & Brumberg, J. S. (2017). Biosignal-based Spoken Communication: A Survey. IEEE Transactions on Audio, Speech, and Language Processing, 25(12), 2257-2271. DOI:10.1109/TASLP.2017.2752365
Brumberg, J. S., Burnison, J. D., & Pitt, K. M. (2016). Using motor imagery to control brain-computer interfaces for communication. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (pp. 14-24). Spring International Publishing Switzerland. DOI:10.1007/978-3-319-39955-3 2
Brumberg, J. S, Krusienski, D. J, Chakrabarti, S., Gunduz, A., Brunner, P., Ritaccio, A., & Schalk, G. (2016). Spatio-temporal Evolution of Cortical Processes Related to Continuous Overt and Covert Speech in a Reading Task. PLoS ONE, 11. DOI:10.1371/journal.pone.0166872
Brumberg, J. S, Burnison, J. D, & Guenther, F. H (2016). Brain-machine interfaces for speech restoration. In P. van Leishout, B. Maassen, & H. Terband (Eds.), Speech motor control in normal and disordered speech: future developments in theory and methodology.
Brumberg, J. S, Castro, N., & Rao, A. (2015). Temporal dynamics of the speech readiness potential, and its use in a neural decoder of speech motor intention. In Interspeech 2015.
Chakrabarti, S., Sandberg, H. M., Brumberg, J. S, & Krusienski, D. J (2015). Progress in speech decoding from the electrocorticogram. Biomedical Engineering Letters, 5(1), 10-21. DOI:10.1007/s13534-015-0175-1
Lotte, F., Brumberg, J. S, Brunner, P., Gunduz, A., Ritaccio, A. L, Guan, C., & Schalk, G. (2015). Electrocorticographic Representations of Segmental Features in Continuous Speech. Frontiers in Human Neuroscience, 9(97). DOI:10.3389/fnhum.2015.00097
Brumberg, J., Pitt, K. & Burnison, J. (11/30/2016). Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits. American Speech-Language-Hearing Association Convention 2016. Philadelphia, PA
Pitt, K., Brumberg, J., Searl, J. & Kuruvilla-Dugdale, M. (11/30/2016). Inter-institutional, cutting edge ALS research across the disease course, from motor speech to AAC BCI. American Speech-Language-Hearing Convention 2016. Philadelphia, PA
Brumberg, J. (08/16/2016). Using imagined and preparatory motor activity to control assistive devices for speech communication. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Workshop on Communication, Restoration of Function, and Consciousness Assessment with BCI. Orlando, FL
Brumberg, J., Burnison, J. & Pitt, K. (07/20/2016). Using motor imagery to control brain-computer interfaces for communication. 18th International Conference on Human-Computer Interaction, 10th International Conference on Augmented Cognition. Toronto, ON, Canada
Brumberg, J., Krusienski, D., Lotte, F. & Schalk, G. (06/30/2016). Examining speech production using intracranial electrophysiological recordings. 6th International Brain-Computer Interface Meeting, Workshop on Decoding Speech Processes using Intracranial Signals. Pacific Grove, CA
Brumberg, J., Lotte, F., Krusienski, D. & Schalk, G. (03/31/2016). The spatiotemporal dynamics of speech as segmental and suprasegmental timescales. 2016 Motor Speech Conference. Newport Beach, CA
Peters, B., Brumberg, J., Mooney, A., Fried-Oken, M. & Zeitlin, D. (11/12/2015). State of the science update: brain-computer interfaces for augmentative & alternative communication. American Speech-Language-Hearing Association Convention 2015. Denver, CO
Stepp, C. & Brumberg, J. (11/16/2013). What you need to know: surface electromyography & electroencephalography in speech & hearing. Annual Convention of the American Speech-Language-Hearing Association, 2013. Chicago, IL
Stepp, C., Patel, R. & Brumberg, J. (11/30/2012). Games for assessment and rehabilitation of speech and language impairments. Annual Convention for American Speech-Language-Hearing Association, 2012. Atlanta, GA
Pitt, K., Brumberg, J., Burnison, J & Mantie-Kozlowski, A. (2016). A Motor Imagery Based AAC Brain Computer Interface Screening Protocol for Individuals with Advanced ALS.Submitted for presentation at the 2016 International Society for AAC Convention, Toronto, Canada.
Burnison, J., Brumberg, J., Pitt, K. (2016). CNV Elicitation via an AAC Based Paradigm, for use in Brain-Computer Interfaces for Communication.. Submitted for presentation at the 2016 International Society for AAC Convention, Toronto, Canada.
Pitt, K., Burnison, J., Brumberg, J. (2016). Brain Computer Interfaces as a New AAC Access Modality for Individuals with Advanced Paralysis. Submitted for presentation at the 2016 International Brain Computer Interface Meeting, Asilomar, CA.
Brumberg, J., Burnison, J., Pitt, K. (2016). Development of a Real Time Speech Synthesizer Based Brain Computer Interface. Submitted for presentation at the 2016 International Brain Computer Interface Meeting, Asilomar, CA.
Pitt, K., Brumberg, J., Burnison, J., & Duff, J. (2015). Comparison of CNV potentials during overt & covert hand movements for use in SMR brain computer interfaces for communication. Presented at the 2015 American Speech-Language-Hearing Association Convention, Denver, CO.