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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

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.