Search

Han Gyol Yi
  • Home
  • Publications
  • Curriculum Vitae
Avatar

Han Gyol Yi, Ph.D.

Research Staff Member

Institute for Defense Analyses

I am a researcher who uses advanced statistics and analysis methods to uncover insights about complex systems using real-world data.

Currently, my research supports data-driven decision-making by the U.S. Government, primarily the Department of Defense (DoD). To get a general sense for this line of work, visit the Institute of Defense Analyses website.

My background is in cognitive neuroscience, where I studied how the human brain processes sounds of spoken languages. I used cutting-edge neuroscience techniques such as direct cortical recording (electrocorticography; ECoG), functional magnetic resonance imaging (fMRI), and electroencephalography (EEG). My work has been published in prestigious peer-reviewed journals such as Proceedings of the National Academy of Sciences (press release), Neuron, Cerebral Cortex, and The Journal of Neuroscience.

Featured Publications

Please see CV for a full list of publications (2010-2021)

Han G. Yi, Bharath Chandrasekaran, Kirill V. Nourski, Ariane E. Rhone, William L. Schuerman, Matthew A. Howard III, Edward F. Chang, Matthew K. Leonard
August 2021 Proc Nat Acad Sci

Learning Non-native Speech Sounds Changes Local Encoding in the Adult Human Cortex.

When learning a new language as an adult, the brain must strike a delicate balance between stability and plasticity. Using direct humann neurophysiology, the changes in brain activity during learning is much like fine-tuning a set of small “knobs”.
PDF DOI
Han Gyol Yi*, Matthew K. Leonard*, Edward F. Chang
June 2019 Neuron, 102(6)

The Encoding of Speech Sounds in the Superior Temporal Gyrus

The human superior temporal gyrus (STG) encodes phonological features relevant for speech perception. We describe how direct human neurophysiology has revealed the local and context-dependent nature of STG representations and propose a theory for temporal binding in speech.
PDF DOI
Gangyi Feng*, Han Gyol Yi*, Bharath Chandrasekaran
December 2018 Cerebral Cortex, bhy289

The role of the human auditory corticostriatal network in speech learning

Using fMRI and DTI, we show a critical role for the auditory corticostriatal circuitry in mediating the acquisition of new speech categories.
PDF DOI
Han Gyol Yi, Zilong Xie, Rachel Reetzke, Alexandros G. Dimakis, Bharath Chandrasekaran
April 2017 Brain and Behavior, 7(6)

Vowel decoding from single-trial speech-evoked electrophysiological responses: A feature-based machine learning approach

We use a machine-learning approach to decode speech tokens from scalp-recorded electrophysiological responses on a single-trial basis.
PDF DOI

Cite
Copy Download