John Houde, PhD
|School||UCSF School of Medicine|
|Address||513 Parnassus Ave, Med Sci|
San Francisco CA 94143
John F. Houde, PhD, is an Associate Professor in Residence and he is the Director of the Speech Neuroscience Laboratory in the Department of Otolaryngology – Head and Neck Surgery (OHNS) at the University of California, San Francisco. He received his Electrical Engineering undergraduate degree from the California Institute of Technology in Pasadena, and he obtained his MS in Computer Science from Duke University, Durham, North Carolina. Dr. Houde earned his PhD in Brain and Cognitive Science from MIT, and this was followed by a fellowship in Medicine from UCSF.
Dr. Houde’s research focuses on understanding the role of auditory feedback in speech and the neural mechanisms supporting auditory feedback. His research projects include computational modeling, psychophysical investigations, and functional neuroimaging that examine auditory feedback's role in the learning and maintenance of speech, as well as the online control of speech. A major focus of Dr. Houde’s lab is determining the role of auditory feedback in speaking by examining how speakers respond to realtime alterations of their audio feedback. Another major focus is using functional neuroimaging, especially magnetoencephalography (MEG), as well as electrocorticography (ECoG) to study how auditory feedback is processed during speaking.
Dr. Houde also studies how feedback processing in speech production is compromised in various clinical conditions, such as Alzheimer’s disease and spasmodic dysphonia.
Dr. Houde is a member of the Cognitive Neuroscience Society, the Society of Neuroscience, and the Society for the Neuroscience Language. He has contributed to 24 peer-reviewed articles, 2 patents, and over 50 abstracts.
The neuroscience of speech production
Research in cognitive neuroscience
Speech, hearing, neuroscience, cognitive science, acoustics, auditory feedback, motor control
Education and Training:
• BS: California Institute of Technology – Electrical Engineering
• MS: Duke University – Computer Science
• PhD: Massachusetts Institute of Technology, Cambridge – Brain and Cognitive Science
• Postdoctoral Training: University of California, San Francisco
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