2 papers
cs.LG2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith
The machine learning community has become increasingly interested in the energy efficiency of neural networks. The Spiking Neural Network (SNN) is a promising approach to energy-ef…
cs.NE2018
NengoDL: Combining deep learning and neuromorphic modelling methods
Daniel Rasmussen
NengoDL is a software framework designed to combine the strengths of neuromorphic modelling and deep learning. NengoDL allows users to construct biologically detailed neural models…