Diverse and United: Neuromorphic Open Source Leaders Form ONM Collaboration Network

Following a landmark panel, leading projects like BindsNET, Brian, GeNN, and snnTorch unite to form the inaugural Open Neuromorphic Collaboration Network, putting our strategic vision into action.

Diverse and United: Neuromorphic Open Source Leaders Form ONM Collaboration Network
Photo by tarry_not

Our recent community panel, “Open-Source Neuromorphic Research Infrastructure,” was a tremendous success. Organized by ONM Chair Jens E Pedersen and brilliantly hosted by Giulia D’Angelo, the event brought together the maintainers of the most critical tools in our field for a much-needed discussion on building a more unified, competitive, and accessible ecosystem.

The energy and shared purpose from that discussion were too valuable to let fade. It became the catalyst for something new: the official launch of the Open Neuromorphic Collaboration Network.

A Strategic Vision in Action

This initiative is a direct answer to the call for a more collaborative and open ecosystem that we outlined in our Strategic Vision for Open Neuromorphic. By uniting these essential projects, we are creating a shared space for the exchange of ideas, acting as an ambassador to help newcomers find their bearings and veterans discover new collaborators. This is a concrete step towards reducing fragmentation, improving interoperability, and making neuromorphic technology more accessible and reproducible for everyone—core tenets of our vision.

We are honored to announce the founding members of this new network, featuring the leading open-source projects in our field:

  • AEStream: A high-performance library for streaming event-based data.
  • BindsNET: A key PyTorch-based framework for simulating biologically plausible SNNs.
  • Brian: One of the most established and flexible simulators, renowned for its equation-based approach to neuron modeling.
  • Faery: A modern, high-performance library for processing event-based camera data.
  • GeNN: A powerful, GPU-accelerated simulator for large-scale, high-performance SNNs.
  • Neuromorphic Intermediate Representation (NIR): A community-driven standard for model interoperability.
  • NIRTorch: The essential PyTorch integration for the NIR standard.
  • snnTorch: A popular framework for gradient-based training of SNNs in PyTorch.
  • Sottosoglia Podcast: An insightful podcast exploring the human side of neuromorphic science.

Diverse and United

A theme that resonated throughout the panel was the idea of being “Diverse and United.” Our field is broad, spanning everything from deeply bio-inspired computational neuroscience to performance-driven machine learning. This diversity is our strength, and by uniting, we amplify it.

The goal of the Collaboration Network is to celebrate the diverse contributions of each project. It’s about fostering a culture of sharing and signaling that the lines of communication between these foundational tools are wide open. We believe this shared commitment to openness sets the groundwork for the deeper collaborations needed to propel the entire field forward.

A New Chapter: Announcing Supporter Tiers

The launch of our Collaboration Network marks a new chapter for Open Neuromorphic. The incredible projects listed above form the bedrock of our Foundational Supporters tier.

To build on this momentum, we are now introducing Platinum and Gold supporter tiers for organizations, companies, and institutions who wish to financially support our mission. Funding will be directed toward improving our shared infrastructure, supporting open-source development, and creating more educational resources and events.

If your organization believes in the power of an open and collaborative neuromorphic future, we invite you to become a supporter.

What’s Next?

This is just the beginning. The formation of this network is a testament to what we can achieve when we work together. We want to extend a heartfelt thank you to all the founding members for their commitment to this shared vision.

We invite everyone to:

About the Authors

Jens E. Pedersen

Jens E. Pedersen

Doctoral student at KTH, modeling neuromorphic control systems to solve real-world ambiguity. Maintainer of Norse, AEStream, and co-author of NIR.
Justin Riddiough

Justin Riddiough

Strategic digital solutions partner and open-source advocate. As Vice-Chair of the ONM Executive Committee, Justin focuses on building robust digital infrastructure and fostering community growth.
Danny Rosen

Danny Rosen

Danny Rosen is a Master’s student in Computer Engineering at Virginia Tech’s Innovation Campus in Alexandria, Virginia. He’s currently researching Spiking Neural Networks (SNNs) for edge-based signal processing.

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