About us

Neuromorphic computing has the potential to transform the way we use computers through new materials, new brain-inspired chips, greater understanding of neuroscience, and breakthroughs in energy efficient and edge AI. The goal of this conference is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area.

Important Dates

Wed, Apr 1, 2026
Submission deadline
Wed, May 13, 2026
Reviews due
Mon, May 18, 2026
Reviews to Authors due
Mon, May 25, 2026
Authors send rebuttals to program co-chairs
Fri, Jun 5, 2026
Final Notification of Acceptance
Wed, Jun 24, 2026
Camera-Ready Papers Due

Call For Paper

Neuromorphic circuits or sensors
Non-von Neumann computing architectures and models
Emerging devices and hardware implementations
Event or spike-based systems
Novel brain-inspired system architectures
Supervised, unsupervised and self-supervised learning methods
Biologically-inspired algorithms
Adaptations to existing algorithms for use on or with neuromorphic systems
Continual learning systems
Energy efficient AI applications, including edge
Biomedical applications
Applications demonstrating a neuromorphic or neural-inspired advantage
Benchmark tasks for neuromorphic computing
Neuromorphic datasets
Domain-specific adaptation
Efficient simulation techniques for large-scale networks
Compilers, programming frameworks and related methodology
Visualization and insight tools

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Full Papers, Short Papers, Tutorial Proposals, and Special Session Proposals.