Dear Colleagues,
 
We are pleased to announce the Workshop “Neuro for AI & AI for Neuro: 
Towards Multi-Modal Natural Intelligence” at the AAAI 2026 conference in 
Singapore on January 27, 2026.
 
Thanks to those who submitted their papers so far — we look forward to all 
your submissions by *October 30, 2025*.
 
Confirmed speakers:

   - Guozhang Chen (Peking University)
   - Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU)
   - Elisa Donati (University of Zurich and ETHZ)
   - Adrienne Fairhall (Universtiy of Washington)
   - Patrick Mineault (Amaranth Foundation)
   - Adeel Razi (Monash University)
   - Martin Schrimpf (EPFL)
   - Mike Zheng Shou (National University of Singapore)
   - Andreas Tolias (Stanford University)

 
Please see details below and at *https://neuroai-multimodal-workshop.github.io/ 
<https://urldefense.com/v3/__https://neuroai-multimodal-workshop.github.io/__;!!LQC6Cpwp!q3ucEosBGgBz6askWrVqjQ3HherdLhKxJrvrsOGOSDEaYoQmg5Ma8SfyCwVTl6gp4VHv7VS54rkSxFAN-i4_p_CFTj8$>*
.
 
We invite submissions of full papers or abstracts that describe new 
research, work in progress, or position statements on relevant topics. 
Original, unpublished submissions may be considered for *a special issue on 
"Neuroscience and AI" in the Journal of Neural Engineering*. The full paper 
submissions should be 8 pages maximum, excluding references, and the 
abstract submissions should be 2 pages maximum, excluding references, in 
the AAAI two-column format.

Please submit your work by October 30, 2025 at 
*https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI 
<https://urldefense.com/v3/__https://openreview.net/group?id=AAAI.org*2026*Workshop*NeuroAI__;Ly8v!!LQC6Cpwp!q3ucEosBGgBz6askWrVqjQ3HherdLhKxJrvrsOGOSDEaYoQmg5Ma8SfyCwVTl6gp4VHv7VS54rkSxFAN-i4_NMCqolc$>*
.
 
Organizing Committee:

   - Reza Abbasi-Asl, University of California, San Francisco
   - Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine
   - Sophia Sanborn, Stanford University
   - Shinya Ito, Allen Institute
   - Anton Arkhipov, Allen Institute
   - Naomi Donovan, University of California, San Francisco
   - Macarena Aloi, Allen Institute

 
Description of workshop: This workshop will unite researchers in artificial 
intelligence, computational neuroscience, and neuromorphic engineering to 
explore the critical two-way exchange between biology and machine learning. 
Our main objective is to bridge these fields to accelerate foundational 
progress in multimodal natural intelligence. The “Neuro → AI” theme will 
investigate how principles from cortical microcircuits, such as sparse 
coding, dendritic nonlinearities, and cell-type diversity, can inspire 
novel, efficient, and robust AI architectures like transformers and 
graph-based models. Conversely, the “AI → Neuro” theme will showcase how 
advanced machine-learning techniques are revolutionizing neuroscience, 
enabling new insights into neural dynamics through AI-driven analysis of 
large-scale imaging, electrophysiological, and behavioral data. By bridging 
the gap between biologically grounded inductive biases for AI and scalable 
computational tools for neuroscience, this workshop aims to catalyze 
research that unifies theory, experiment, and application.
 
Topics:

   - Biologically inspired machine learning architectures
   - Neuro-inspired mechanisms for efficiency (e.g., sparsity, 
   inhibitory-excitatory balance)
   - AI-driven analysis of large-scale neuroscience data
   - Unsupervised representation learning and causal inference for circuit 
   discovery
   - Gradient descent-based training of bio-realistic neural models
   - Open-source software and reproducible research in NeuroAI
   - Neuromorphic engineering and hardware implementation

 
Format of Workshop: This will be a one-day, in-person workshop. The format 
is designed to be highly interactive, featuring a series of invited talks 
from world-renowned experts, two panel discussions for in-depth Q&A, and 
spotlight presentations for high-impact contributed papers. A central 
poster session will provide a forum for detailed discussion and networking. 
The day will conclude with a roundtable discussion to identify key 
community challenges and a sponsored social gathering to foster continued 
collaboration.
 
Attendance: We welcome researchers and practitioners from academia and 
industry with an interest in the intersection of neuroscience and 
artificial intelligence. At least one author of each accepted submission 
must be present at the workshop. The maximum number of attendees is to be 
determined by the room size and will be communicated by AAAI.
 
Please reach out if you have any questions. We look forward to seeing you 
in Singapore!
 
Best regards,
 
Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, Anton Arkhipov, 
Naomi Donovan, Macarena Aloi

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