Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks
Author:
Affiliation:
1. University of Manchester
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3477145.3477146
Reference22 articles.
1. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
2. Population-based routing in the SpiNNaker neuromorphic architecture
3. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
4. Steve K Esser Rathinakumar Appuswamy Paul Merolla John V Arthur and Dharmendra S Modha. 2015. Backpropagation for energy-efficient neuromorphic computing. In Advances in neural information processing systems. 1117–1125. Steve K Esser Rathinakumar Appuswamy Paul Merolla John V Arthur and Dharmendra S Modha. 2015. Backpropagation for energy-efficient neuromorphic computing. In Advances in neural information processing systems. 1117–1125.
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