Search Results for author: Daniel Rasmussen

Found 2 papers, 1 papers with code

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions

no code implementations10 Feb 2020 Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith

The machine learning community has become increasingly interested in the energy efficiency of neural networks.

NengoDL: Combining deep learning and neuromorphic modelling methods

1 code implementation28 May 2018 Daniel Rasmussen

NengoDL is a software framework designed to combine the strengths of neuromorphic modelling and deep learning.

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