How does spiking neural networks handle continuous signals? Turns out, they can use the same tricks used JPEGs and telecom (wavelets)! It's 100x more efficient. It's lossy, but causal and implementable directly in analog circuits. And maybe a path toward fast, low-power spiking signal processing?

The field of #neuromorphics is lacking *accessible*, *intuitive*, and *practical* introductions. Ramashish Gaurav, Petruț Antoniu Bogdan, and I are setting out to fix this with a book on Practical Spiking Neural Networks! ✅ Any and all contributions are welcome! 💕 Early access at: snnbook.net

I'm proud to chair this initiative, bringing together leading scientists, students, and volunteers to build an open and sustainable ecosystem for neuromorphics. Check it out and sign up. We can use your help :-)

Open Neuromorphic@openneuromorphic.bsky.social · 11mo ago

#OpenNeuromorphic is more than a community; it is a movement. We are building the future of brain-inspired AI and hardware through open collaboration, global education, and radical curiosity. Join us as we reimagine intelligence together. open-neuromorphic.org #ONM #Brain-inspired #Hardware #SNN

New paper on covariant #neuromorphic networks! We're connecting decades of work in computer vision with decades of work in spiking networks. And, in an event-based vision task against regular ANNs of similar complexity, spiking networks are doing much, much better! www.nature.com/articles/s41...

Covariant spatio-temporal receptive fields for spiking neural networks - Nature Communications

Neuromorphic computing mimics brain efficiency but lacks theoretical guidance. Here, authors develop a computational foundation for processing signals in space and time in spiking neural networks that...

nature.com

Curious about #neuromorphic computing? 🧠💻 We want to revolutionalize the way we program brain-inspired systems and are plotting a course in a new publication with Steven Abreu: ieeexplore.ieee.org/abstract/doc... (or open access arxiv.org/abs/2410.22352) Let's build better neuromorphics together! 🚀

Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware

The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine learning methods adapt...

ieeexplore.ieee.org

New preprint out on a data generator for geometric event responses. Here's to hoping this will make event-based models more aware of geometry and symmetry ✨ #neuromorphic #computervision #dataset arxiv.org/abs/2412.03259

GERD: Geometric event response data generation

Event-based vision sensors are appealing because of their time resolution, higher dynamic range, and low-power consumption. They also provide data that is fundamentally different from conventional fra...

arxiv.org

Just listened to the Lex Fridman podcast with Yann Lecun, emphasizing the importance of open #AI. Couldn't agree more! As an open source maintainer for #neuromorphic tech, thank you for the praise and encouragement. I needed that today ❤️ open.spotify.com/episode/0bXy...

#neuromorphic computing is promising to drive artificial intelligence much further---and this blogpost benchmarks SNN libraries, so you know where to start. Join us on Discord discord.gg/C9bzWgNmqk open-neuromorphic.org/blog/spiking...