We invite researchers in the field of NeuroAI to submit their papers to this workshop. The workshop papers are non-archival and authors are also encouraged to submit short versions of their ICLR main conference submissions concurrently to this workshop.

Submissions will be managed through OpenReview and offered in two formats: Regular Papers of up to 5 pages and Tiny Papers of up to 2 pages, excluding references and supplementary material. Submissions should use the LaTeX template, must be anonymized, and must comply with the double-blind reviewing policy. We particularly welcome novel, ongoing, or discussion-generating work.

Consistent with the ICLR 2027 Tiny/Short Paper requirements, AI-generated papers will not be accepted in the Tiny Paper track. AI assistance is permitted, but submissions must remain primarily human-authored and reflect the authors’ original scientific thought and analysis. Submissions that do not satisfy this policy may be desk-rejected.

Conflicts of interest will be handled through OpenReview, with conflicted submissions assigned to non-conflicted senior area chairs and reviewers. Topics of interest include, but are not limited to:

• Priors that scale: inductive biases from brains that improve modern learning
• Learning rules and credit assignment: from plasticity to scalable optimization
• Self-supervised prediction and active perception: scalable predictive principles
• Evaluation beyond decoding: benchmarks, neural alignment, and “what fails to transfer”
• Closed-loop neuroadaptive systems: co-adaptation, BCIs, and real-world constraints

The topics above are NOT exhaustive, and we encourage the submission of research related to how principles and insights from neuroscience can lead to better artificial intelligence and vice versa. Our aim is to foster groundbreaking interdisciplinary research that advances both fields.

We strongly discourage the presentation of already completed and/or published machine learning work, including work published in previous ICLR main-track conferences, as our focus is on showcasing innovative and ongoing research. Submissions identified as already completed or previously published work will be desk rejected.

Please note submissions that solely explore ML/AI algorithms without an explicit link to neuroscience are out of scope.

Submission Deadline: 1 February 2027

Notification of Acceptance: 26 February 2027

The top 3 highly scored submissions will be chosen for spotlight talks.

Reviewer Nomination Form: Google Form

For further information and should you have any inquiries, please contact: neuroai.neurips2024@gmail.com