14 citations · 21 across the 8 of their papers we have counts for
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cs.NE2023★ 2 cited
Spiking Network Initialisation and Firing Rate Collapse
Nicolas Perez-Nieves, Dan F. M Goodman
In recent years, newly developed methods to train spiking neural networks (SNNs) have rendered them as a plausible alternative to Artificial Neural Networks (ANNs) in terms of accu…
cs.NE2021★ 4 cited
Sparse Spiking Gradient Descent
Nicolas Perez-Nieves, Dan F. M. Goodman
There is an increasing interest in emulating Spiking Neural Networks (SNNs) on neuromorphic computing devices due to their low energy consumption. Recent advances have allowed trai…
cs.NE2020
Learning spatial hearing via innate mechanisms
Yang Chu, Wayne Luk, Dan Goodman
The acoustic cues used by humans and other animals to localise sounds are subtle, and change during and after development. This means that we need to constantly relearn or recalibr…