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Daniel P. Gramling

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

11

Citations

36

Est. group size

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Daniel P. Gramling's recent work focuses on neuroscience research infrastructure and the study of brain activity patterns, particularly in the prefrontal cortex. This includes developing 'Spyglass,' a software framework for making neuroscience research more reproducible and shareable, as well as studying how neural population codes (patterns of brain cell activity) vary in reliability across brain regions.

Neuroscience research tools and infrastructurePrefrontal cortex functionNeural population codingReproducibility in researchData-sharing frameworks

Publication output was minimal or absent in the earlier part of the decade but has increased noticeably since 2023-2024, suggesting a recent growth in research activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
1718192020: 2 publications202021: 1 publication21222023: 1 publication232024: 3 publications3242025: 2 publications252026: 2 publications26
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×2
  • eLife×2
  • Journal of Applied Physiology×1
  • American Journal of Physiology-Heart and Circulatory Physiology×1
  • Annals of Biomedical Engineering×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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