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 NeurIPS main conference submissions concurrently to this workshop.

Submissions should adhere to a page limit of 5 pages, excluding references and supplementary materials, and must use the NeurIPS 2026 LaTeX template. All submissions must be anonymized and may not contain any identifying information that may violate the double-blind reviewing policy.

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 NeurIPS 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: 23:59 August 29, 2026 (AoE)

Notification of Acceptance: September 29, 2026

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