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Ross K. Maddox, Ph.D.

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Biography

Research

Ross Maddox joined the Departments of Biomedical Engineering and Neuroscience in 2016. He did his postdoctoral training at University of Washington Institute for Learning and Brain Sciences. He earned his PhD and MS in Biomedical Engineering from Boston University, and his BS in Sound Engineering from the University of Michigan–Ann Arbor. Among the awards and honors he has received is the Pathway to Independence Award from the National Institutes of Health (K99/R00). He has published his research in numerous scientific journals, including Current Biology, PLOS Biology, and eLife.

Faced with the cacophony of daily life, the human brain is remarkably adept at focusing on one sound source while tuning out numerous competing others, effortlessly solving the so-called "cocktail party problem." Dr. Maddox studies the brain's solutions to this problem. His research has two main thrusts: to investigate how the visual system interacts with the auditory system to improve selective attention under noisy conditions, and to identify and dissociate the neural causes of disabled listening, particularly in people who show no signs of hearing impairment as defined by current audiologic testing. His work combines behavioral studies, electroencephalography recordings of neural activity, and novel applications of signal processing techniques.

Publications

Journal Articles

2/24/2022
Fiscella S, Cappelloni MS, Maddox RK. "Independent mechanisms of temporal and linguistic cue correspondence benefiting audiovisual speech processing." Attention, perception & psychophysics.. 2022 Feb 24; Epub 2022 Feb 24.

2022
Johnson TW, Dar IA, Donohue KL, Xu YY, Santiago E, Selioutski O, Marinescu MA, Maddox RK, Wu TT, Schifitto G, Gosev I, Choe R, Khan IR. "Cerebral Blood Flow Hemispheric Asymmetry in Comatose Adults Receiving Extracorporeal Membrane Oxygenation." Frontiers in neuroscience.. 2022 16:858404. Epub 2022 Apr 11.

2022
Shan T, Wenner CE, Xu C, Duan Z, Maddox RK. "Speech-In-Noise Comprehension is Improved When Viewing a Deep-Neural-Network-Generated Talking Face." Trends in hearing.. 2022 26:23312165221136934.

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