1 code implementation • NeurIPS 2023 • Luke Taylor, Andrew J King, Nicol S Harper
The adaptive leaky integrate-and-fire (ALIF) model is fundamental within computational neuroscience and has been instrumental in studying our brains $\textit{in silico}$.
1 code implementation • 30 May 2022 • Luke Taylor, Andrew King, Nicol Harper
Spiking neural networks (SNNs), particularly the single-spike variant in which neurons spike at most once, are considerably more energy efficient than standard artificial neural networks (ANNs).
Ranked #3 on Image Classification on N-MNIST
no code implementations • 20 Aug 2017 • Luke Taylor, Geoff Nitschke
Deep artificial neural networks require a large corpus of training data in order to effectively learn, where collection of such training data is often expensive and laborious.