Janelia Research Pioneers AI and Transparent Fish for Breakthrough Brain Mapping

June 23, 2026
Janelia Research Pioneers AI and Transparent Fish for Breakthrough Brain Mapping
  • At Janelia Research Campus, the Howard Hughes Medical Institute is betting on Danionella, a tiny transparent adult fish, combined with artificial intelligence, to map how brain activity drives complex behaviors and social interactions.

  • Danionella will be used alongside established models like fruit flies and larval zebrafish to validate methods, while tool-building remains a core Janelia strength in microscopes, sensors, connectomes, and computation.

  • Gerry Rubin notes that Danionella offers brain-wide activity measurement in a fully adult vertebrate, opening new possibilities beyond the group’s past fruit fly successes.

  • Danionella’s transparency offers imaging advantages over zebrafish, enabling direct visualization of brain activity during natural behaviors such as schooling, navigation, courtship, and social interactions.

  • The plan seeks a mechanistic, multi-level account of brain function spanning molecules to action, while developing AI-driven discovery processes to interpret data, generate hypotheses, design experiments, and automate steps.

  • Janelia’s approach leverages its interdisciplinary ecosystem of tool builders, tool users, and AI experts, with a strong emphasis on open sharing of tools, datasets, and methodologies.

  • The project aims to build a comprehensive brain-connectome for Danionella and create AI-assisted tools to analyze data, enabling experiments in freely swimming fish rather than immobilized specimens.

  • HHMI leadership frames the Danionella effort as a long-horizon challenge with potential benefits for science and human health, signaling a bold rethinking of how research is conducted.

  • The initiative represents a strategic shift for Janelia, shifting resources away from some rodent work and related programs toward Danionella to enable large-scale, collaborative neuroscience beyond what individual labs can achieve.

  • AI-in-the-Loop will analyze results, simulate approaches, design tools, detect patterns, update predictions with new data, and compress discovery timelines from months to days, aligning with HHMI’s broader AI initiatives.

  • Experts stress that observing the brain in real time within a larger, freely behaving animal is essential to link neural activity to behavior, requiring advances in imaging, data analysis, and engineering to manage massive data loads.

  • This effort builds on Janelia’s history of large-scale connectomics, aiming to extend these approaches to a vertebrate brain to advance understanding of memory, decision-making, and basic brain-behavior relationships with potential human relevance.

Summary based on 3 sources


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