Dr. David Brang

Associate Professor

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Biography

David Brang is an Associate Professor in the Department of Psychology at the University of Michigan. His research interests lie at the intersection of cognition and neuroscience, particularly focusing on how multiple sensory modalities interact. His primary areas of expertise include Multisensory Integration, Cognition, Cognitive Neuroscience, Perception, and Brain Disorders. Dr. Brang's lab investigates the mechanisms underlying auditory, visual, and tactile interactions, including phenomena such as synesthesia and the perception of multisensory body image. His current research employs various techniques including psychophysical testing, fMRI, DTI, and electrophysiological measures of neural activity (EEG and ECoG). ECoG recordings, made from clinically implanted electrodes in patients, provide a unique opportunity to observe neural activity with millisecond temporal resolution and millimeter spatial precision, enhancing our understanding of sensory processing. His work contributes significantly to the field of neuroscience by revealing how information from different sensory systems is integrated in the brain.

Research Interests

Experience

Associate Professor

2017-09-01 — Present

University of Michigan • Ann Arbor, MI

Teaches and conducts research in the area of cognitive neuroscience, focusing on multisensory perception.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science