Overview
The upcoming workshop titled “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” will take place at the AAAI 2026 conference in Singapore on January 27, 2026. This event aims to foster collaboration between the fields of artificial intelligence, computational neuroscience, and neuromorphic engineering, emphasizing the mutual benefits of these domains.
Background & Relevance
The integration of neuroscience and AI has become increasingly significant as researchers seek to develop more efficient and robust machine learning models. By understanding biological processes, AI can be enhanced, while advanced AI techniques can provide new insights into neural dynamics. This workshop aims to bridge these two fields, promoting foundational advancements in multimodal natural intelligence.
Key Details
- Workshop Date: January 27, 2026
- Location: Singapore
- Submission Deadline: October 30, 2025
- Topics of Interest:
- Biologically inspired machine learning architectures
- Neuro-inspired mechanisms for efficiency
- AI-driven analysis of large-scale neuroscience data
- Unsupervised representation learning
- Gradient descent-based training of bio-realistic neural models
- Open-source software and reproducible research
- Neuromorphic engineering
- Submission Link: OpenReview Submission
- Confirmed Speakers:
- Guozhang Chen (Peking University)
- Dmitri Chklovskii (Flatiron Institute, NYU)
- Elisa Donati (University of Zurich and ETHZ)
- Adrienne Fairhall (University of Washington)
- Patrick Mineault (Amaranth Foundation)
- Adeel Razi (Monash University)
- Martin Schrimpf (EPFL)
- Mike Zheng Shou (National University of Singapore)
- Andreas Tolias (Stanford University)
Eligibility & Participation
The workshop is designed for researchers and practitioners from both academia and industry who are interested in the intersection of neuroscience and artificial intelligence. At least one author from each accepted submission is required to attend the workshop.
Submission or Application Guidelines
Participants are invited to submit either full papers (maximum 8 pages) or abstracts (maximum 2 pages) that present original research, ongoing work, or position statements. Submissions should adhere to the AAAI two-column format. All submissions must be made through the provided OpenReview link by the deadline.
Additional Context / Real-World Relevance
The workshop’s focus on neuro-inspired AI and its applications is crucial in advancing our understanding of both fields. By fostering discussions around biologically grounded AI models and their implications for neuroscience, this event aims to catalyze innovative research that can lead to practical applications in various domains.
Conclusion
The “Neuro for AI & AI for Neuro” workshop at AAAI 2026 presents a unique opportunity for collaboration and knowledge exchange among experts in neuroscience and artificial intelligence. Researchers are encouraged to submit their work and participate in this engaging event in Singapore, which promises to be a significant milestone in the integration of these fields.
Category: Conferences & Workshops
Tags: neuroscience, artificial intelligence, machine learning, multimodal ai, neuro-inspired architectures, AAAI, data analysis, neuroengineering
