World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
14698
World Ranking
3270
National Ranking
1517

Overview

Daeyeol Lee is affiliated with Johns Hopkins University in the United States and has a scholarly focus primarily within the field of Neuroscience.

Their research contributions span several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, and Biomedical Engineering.

Lee's work addresses multiple main topics such as Neural dynamics and brain function, Neural and Behavioral Psychology Studies, Functional Brain Connectivity Studies, Memory and Neural Mechanisms, Neurotransmitter Receptor Influence on Behavior, Mental Health Research Topics, and Neuroscience and Neuropharmacology Research.

Publications appear frequently in a range of venues, with the most consistent outlets including Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry, Journal of Neuroscience, and Proceedings of the National Academy of Sciences.

Frequent co-authors in their research collaborations are:

  • Hyojung Seo
  • John D. Murray
  • Alireza Soltani
  • Maxwell Shinn
  • Stephanie M. Groman

Representative recent publications by Daeyeol Lee include:

  • Multiple timescales of neural dynamics and integration of task-relevant signals across cortex, 2020, Proceedings of the National Academy of Sciences
  • Functional brain networks reflect spatial and temporal autocorrelation, 2023, Nature Neuroscience
  • Timescales of cognition in the brain, 2021, Current Opinion in Behavioral Sciences
  • Robust and distributed neural representation of action values, 2021, eLife
  • Reinforcement learning detuned in addiction: integrative and translational approaches, 2021, Trends in Neurosciences

Best Publications

  • A hierarchy of intrinsic timescales across primate cortex

    John D. Murray;Alberto Bernacchia;David J. Freedman;Ranulfo Romo

  • Prefrontal cortex and decision making in a mixed-strategy game.

    Dominic J Barraclough;Michelle L Conroy;Daeyeol Lee

  • Neural Basis of Reinforcement Learning and Decision Making

    Daeyeol Lee;Hyojung Seo;Min Whan Jung

  • Neuronal basis of age-related working memory decline

    Min Wang;Nao J. Gamo;Yang Yang;Lu E. Jin

  • Distinct roles of rodent orbitofrontal and medial prefrontal cortex in decision making

    Jung Hoon Sul;Hoseok Kim;Namjung Huh;Daeyeol Lee

  • Game theory and neural basis of social decision making.

    Daeyeol Lee

  • Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex

    Daeyeol Lee;Nicholas L. Port;Nicholas L. Port;Wolfgang Kruse;Apostolos P. Georgopoulos

  • Temporal Filtering of Reward Signals in the Dorsal Anterior Cingulate Cortex during a Mixed-Strategy Game

    Hyojung Seo;Daeyeol Lee

  • A reservoir of time constants for memory traces in cortical neurons

    Alberto Bernacchia;Hyojung Seo;Daeyeol Lee;Xiao Jing Wang

  • Persistent Spiking Activity Underlies Working Memory.

    Christos Constantinidis;Shintaro Funahashi;Shintaro Funahashi;Daeyeol Lee;John D. Murray

  • Prefrontal coding of temporally discounted values during intertemporal choice.

    Soyoun Kim;Jaewon Hwang;Daeyeol Lee

  • Role of Striatum in Updating Values of Chosen Actions

    Hoseok Kim;Jung Hoon Sul;Namjung Huh;Daeyeol Lee

  • Role of rodent secondary motor cortex in value-based action selection

    Jung Hoon Sul;Suhyun Jo;Daeyeol Lee;Min Whan Jung

  • Effects of noise correlations on information encoding and decoding.

    Bruno B. Averbeck;Daeyeol Lee

  • Prefrontal Cortex and Impulsive Decision Making

    Unknown

  • Ubiquity and Specificity of Reinforcement Signals throughout the Human Brain

    Timothy J. Vickery;Marvin M. Chun;Daeyeol Lee

  • Coding and transmission of information by neural ensembles

    Bruno B. Averbeck;Daeyeol Lee

  • Beyond working memory: the role of persistent activity in decision making

    Clayton E. Curtis;Daeyeol Lee

  • Neuroeconomics

    Unknown

  • Distributed coding of actual and hypothetical outcomes in the orbital and dorsolateral prefrontal cortex.

    Hiroshi Abe;Daeyeol Lee

  • Heterogeneous coding of temporally discounted values in the dorsal and ventral striatum during intertemporal choice.

    Xinying Cai;Soyoun Kim;Daeyeol Lee

  • Reinforcement learning and decision making in monkeys during a competitive game

    Daeyeol Lee;Michelle L. Conroy;Benjamin P. McGreevy;Dominic J. Barraclough

Frequent Co-Authors

Jane R. Taylor
Jane R. Taylor Yale University
John D. Murray
John D. Murray Yale University
Xiao-Jing Wang
Xiao-Jing Wang New York University
Amy F.T. Arnsten
Amy F.T. Arnsten Yale University
Marvin M. Chun
Marvin M. Chun Yale University
Apostolos P. Georgopoulos
Apostolos P. Georgopoulos University of Minnesota
Bruno B. Averbeck
Bruno B. Averbeck National Institutes of Health
Kevin A. Pelphrey
Kevin A. Pelphrey University of Virginia
Christopher Pittenger
Christopher Pittenger Yale University
Shintaro Funahashi
Shintaro Funahashi Kyoto University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Daeyeol Lee

Trending Scientists