Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications
Published 2020 View Full Article
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Title
Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications
Authors
Keywords
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Journal
Frontiers in Neuroscience
Volume 14, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-06-30
DOI
10.3389/fnins.2020.00662
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Related references
Note: Only part of the references are listed.- Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
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- A deep learning framework for neuroscience
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- (2018) Mike Davies et al. IEEE MICRO
- Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
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- Supervised learning in spiking neural networks with FORCE training
- (2017) Wilten Nicola et al. Nature Communications
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- (2017) Hesham Mostafa IEEE Transactions on Neural Networks and Learning Systems
- Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
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- Large-scale neuromorphic computing systems
- (2016) Steve Furber Journal of Neural Engineering
- Convolutional networks for fast, energy-efficient neuromorphic computing
- (2016) Steven K. Esser et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Toward an Integration of Deep Learning and Neuroscience
- (2016) Adam H. Marblestone et al. Frontiers in Computational Neuroscience
- Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation
- (2016) Qian Liu et al. Frontiers in Neuroscience
- Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details
- (2015) Teresa Serrano-Gotarredona et al. Frontiers in Neuroscience
- Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
- (2014) Yongqiang Cao et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- The SpiNNaker Project
- (2014) Steve B. Furber et al. PROCEEDINGS OF THE IEEE
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- (2014) P. A. Merolla et al. SCIENCE
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