标题
Exploring the Connection Between Binary and Spiking Neural Networks
作者
关键词
-
出版物
Frontiers in Neuroscience
Volume 14, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2020-06-24
DOI
10.3389/fnins.2020.00535
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
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- GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
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- BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
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- Deep Learning With Spiking Neurons: Opportunities and Challenges
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- In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array
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- CIFAR10-DVS: An Event-Stream Dataset for Object Classification
- (2017) Hongmin Li et al. Frontiers in Neuroscience
- Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
- (2017) Bodo Rueckauer et al. Frontiers in Neuroscience
- Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets
- (2016) Abhronil Sengupta et al. IEEE Transactions on Biomedical Circuits and Systems
- TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
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- Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses
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