Data-Driven AI for Neuroscience

New experimental techniques have enabled the observation of neural circuits at an unprecedented scale, from whole-brain connectomes to large-scale recordings of thousands of neurons. How can we leverage these large datasets to determine how the brain performs complex computations? Analyzing such large datasets requires new AI-powered computational tools. These data-driven AI approaches are essential not only for analyzing individual experiments, but also for integrating insights across diverse experimental paradigms, bridging the functional gaps between environmental stimuli, neuronal activity patterns, and behavioral outputs. Moreover, AI tools serve as exploratory platforms that can generate novel experimental conditions and testable hypotheses, guiding the design of future experiments. This conference will bring together scientists using AI to analyze and model neural circuits.

The intimate nature of Janelia meetings fosters an interactive and collaborative environment, with researchers across disciplines coming together for an intense, focused, 3-day gathering to discuss innovative applications of AI to large-scale neural datasets.

Janelia will cover lodging and meals for all participants, and travel support is available to those in need (please indicate need in that portion of the application). Participants are expected to stay for the duration of the meeting.

The meeting will begin at 6pm ET on the first day and end by 1pm ET on the last.

Applications are now closed.
 

Invited Participants

View the list of invited participants.
 

Please note: Because Janelia conferences are intentionally small and selective, we may not be able to accommodate all applicants. We strive for a broad representation across labs and therefore may limit participation to one person per group. Preference is given to applicants who are active researchers in the field and intend to present their work as a poster or selected talk.