headshot of Liberty Hamilton

Research Bio

Liberty Hamilton investigates how the human brain represents speech and other natural sounds across development and in clinical contexts. Her lab combines invasive and noninvasive electrophysiology (intracranial EEG and EEG), computational modeling, and behavioral methods to map auditory cortical responses and plasticity. She develops models that show how sound is transformed into meaningful language in the brain. Hamilton’s work bridges basic auditory neuroscience and translational applications, including brain–computer interfaces and neurosurgical collaborations.

Hamilton is an Assistant Professor in UC Berkeley’s Department of Neuroscience and the Department of Statistics, with an affiliation at UCSF Department of Neurosurgery. She is known for research on speech representations in auditory cortex and using natural stimuli to understand real-world perception and behavior. Her expertise is auditory neuroscience and computational models of speech perception, integrating human neurophysiology with data-driven approaches.

Research Expertise and Interest

auditory cortex, speech perception, EEG/iEEG, computational neuroscience, auditory plasticity

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Circuit and Systems Neuroscience  [NEU 250]  

  • Neuroscience Graduate Research  [NEU 292]  

  • Neuroscience Research Review  [NEU 295]  

  • Introduction to Time Series  [STAT 153]  

  • Field Study in Statistics  [STAT 197]  

  • Analysis of Time Series  [STAT 248]  

  • Statistics Research Seminar  [STAT 278B]  

2025 Fall
  • Neuroscience Graduate Research  [NEU 292]  

  • Neuroscience Research Review  [NEU 295]  

  • Field Study in Statistics  [STAT 197]  

  • Statistics Research Seminar  [STAT 278B]