Research

RESEARCH INTEREST

I study the dynamics of human perception, action and cognition with computational modeling. My modeling work explores the dynamical aspects of music perception and performance, such as the interaction of melodic tones in pitch memory, the multistability of rhythmic patterns, and the dynamic coordination in percussive ensembles. With Edward Large, I developed a modeling framework that captures oscillatory dynamics of neural networks in a simple, elegant mathematical form. A series of extensive mathematical analysis revealed the general properties of oscillatory neural networks, which explain the principles underlying complex human behaviors and neural processes, such as music perception and production, auditory neural processing, and rhythmic movement coordination.

As Co-Founder and Chief Science Officer, I lead research and development at Oscilloscape. Our first commercial product was Synchrony LEDs, a music-activated LED controller powered by our oscillatory network technology. We are currently developing a therapeutic intervention for Alzheimer’s disease and mild cognitive impairment, called Synchrony Gamma, which combines the power of music listening with music-synchronized light stimulation.

Tichko, P., Kim, J. C., Large, E., & Loui, P. (2020). Integrating music‐based interventions with Gamma‐frequency stimulation: Implications for healthy ageing. European Journal of Neuroscience, ejn.15059. [pdf]


RESEARCH PROJECTS

Dynamics of Music Perception and Cognition

Coordinative Dynamics of Rhythmic Movements

  • Phasing performance in percussive ensembles

  • Acquisition and retention of multifrequency bimanual coordination

Canonical Modeling Framework for Multifrequency Coordination and Learning