Human-centered technologies based on groundbreaking research in the neuroscience of rhythm
Oscilloscape is an early stage company creating advanced neural simulations of rhythmic activity in the human brain. Our patented technology mimics neural synchronization and neuroplasticity. Synchrony™ technology simulates music perception in real-time with the most advanced oscillatory neural networks in the world. Clarity™ technology enhances speech recognition for hearing aids and intelligent virtual assistants in noisy environments. Eloquence™ is developing digital and device-based therapies for the rehabilitation of language fluency in aphasia and cognitive function in MCI and Alzheimer’s disease.Reach us at firstname.lastname@example.org
We are a team of musicians, neuroscientists, AI gurus, and tech enthusiasts. We spend our days listening to music, reading about neuroscience, and arguing about perception. We are always experimenting , always learning, and always willing to try something new.
Edward Large, PhD
Founder and CEO
Ed is a theoretical neuroscientist, musician, and founder of Oscilloscape. He is Professor of Psychological Sciences and Professor of Physics at University of Connecticut. His research focuses on the role of oscillatory neural networks in auditory and motor function. He uses the tools of dynamical systems, auditory neuroscience, music psychology to elucidate fundamental principles of perception, action and cognition, and help to rehabilitate complex biological functions.
Ji Chul Kim, PhD
Chief Science Officer
Ji Chul holds a B.S. in Physics from Seoul National University and a Ph.D. in Music Theory and Cognition from Northwestern University. He has been working with Dr. Large since 2011, and he joined Oscilloscape as Chief Science Officer in 2015. Dr. Kim is one of the world’s leading experts in oscillatory neural dynamics and auditory perception, and he is the key architect of Oscilloscape’s technological infrastructure.
Jon Forsyth, PhD
Chief Technology Officer
Jon holds a B.S. in Physics from Cornell University, an M.S. in Computer Science from Princeton, and a PhD in Music Technology from NYU. Between his Master’s and PhD, he worked in software development for over 10 years and his experience includes signal processing, sound synthesis, physical computing, artificial intelligence, and machine learning. He develops code for our APIs and is responsible for all software and hardware for Synchrony™.