Putting the Neural back into Networks

Part 2: More spikes, more problems

12th January, 2020

In the last post, we learned about how a spiking neuron differs from a common-or-garden Artificial Neuron. TL;DR: Spiking neurons understand time and have internal dynamics, Artificial Neurons don’t.

Machine Learning with SNNs for low-power inference

Presentation at UWA

3rd May, 2024

AI is extremely power-hungry. But brain-inspired computing units can perform machine learning inference at sub-milliWatt power. Learn about low-power computing architectures from SynSense, which use quantised spiking neurons for ML inference. I presented this slide deck at the UWA Computer Science seminar in Perth.

Hands-on with Rockpool and Xylo

OpenNeuromorphic 26th April 2023

26th April, 2023

Learn how to build and deploy a spiking neural network with Rockpool and Xylo.