LabCompass

Kwang S. Kim

Neuroscience · Purdue University West Lafayette

Mid career · publishing since 2014Rising activity

Publications

16

Citations

197

Est. group size

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Kwang S. Kim studies how the brain controls and adjusts speech movements, particularly how people use auditory feedback (hearing their own voice) to correct and adapt their speech in real time. This work compares typical speakers to groups such as adults who stutter, people with cerebellar ataxia, and Alzheimer's patients, often using computational models to explain how sensory errors drive motor learning. The research combines behavioral experiments, neurophysiological recordings, and Bayesian/state feedback control modeling to understand speech sensorimotor adaptation.

Speech motor control and adaptationAuditory feedback and sensory prediction errorsComputational modeling of sensorimotor learningStuttering and speech-motor disordersNeurological conditions affecting speech (ataxia, Alzheimer's)

Publication output was minimal before 2020 but has grown since, peaking in 2024, indicating an increasing pace of research activity over the last several years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
1718192020: 2 publications202021: 1 publication212022: 1 publication222023: 2 publications232024: 5 publications5242025: 2 publications252026: 2 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×4
  • PLoS Computational Biology×2
  • Journal of Speech Language and Hearing Research×1
  • Neuroscience×1
  • European Journal of Neuroscience×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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