Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-06

Daeyeol Lee

Professor

Faculty Researcher

62 h-index 242 pubs 13,152 cited

  • Animals
  • Male
  • Decision Making
  • Reward
  • Reinforcement, Psychology
  • Macaca mulatta
  • Humans
  • Neurons
  • Choice Behavior
  • Psychomotor Performance
  • Prefrontal Cortex
  • Models, Neurological
  • Behavior, Animal
  • Learning
  • Action Potentials

Biography and Research Information

OverviewAI-generated summary

Daeyeol Lee's research investigates the neural mechanisms underlying decision-making and cognitive processes, with a focus on understanding how the brain represents and processes information across different timescales. His work has explored the functional connectivity of brain networks, examining how spatial and temporal autocorrelation contribute to cognitive complexity. Lee has also investigated the neurocomputational mechanisms involved in adaptation to changing intentions and the role of reinforcement learning in addiction.

His research utilizes approaches that integrate computational modeling with experimental data, aiming to bridge findings from animal models to human cognition. This includes studying the representation of action values in neural systems and the timescales of cognitive functions. Lee's work has been published in peer-reviewed journals and contributes to the fields of neuroscience, psychology, and computational biology. His scholarship metrics include an h-index of 62, with over 242 publications and 13,152 citations.

Metrics

  • h-index: 62
  • Publications: 242
  • Citations: 13,152

Selected Publications

  • Is digitalization critical for hospitality firm performance? Longitudinal analysis of CEO’s digital business strategy (2025)

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Collaboration Network

3 Collaborators 3 Institutions 2 Countries

Top Collaborators

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