stbp | Frontiers | Spatio-Temporal Backpropagation for Training …

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Frontiers | Spatio-Temporal Backpropagation for Training …
frontiersin.org

https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2018.00331/full

In this paper, we propose a spatio-temporal backpropagation (STBP) algorithm for training high-performance SNNs. In order to solve the non-differentiable problem of SNNs, an approximated derivative for spike activity is proposed, being appropriate for gradient descent training.

DA: 17 PA: 41 MOZ Rank: 75

Santa Barbara TPG Home - tax products that make tax …
sbtpg.com

https://www.sbtpg.com/

WEBSanta Barbara TPG offers pay-by-refund, refund transfer, advance loans, and check cashing for taxpayers and tax professionals. Find a tax pro near you and learn more …

DA: 80 PA: 88 MOZ Rank: 95

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sbtpg.com

https://taxpayer.sbtpg.com/

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Spatio-Temporal Backpropagation for Training High …
tsinghua.edu.cn

https://ml.cs.tsinghua.edu.cn/~jun/pub/spike-DNN.pdf

WEBIn this paper, we propose a spatio-temporal backpropagation (STBP) algorithm for training high-performance SNNs. In order to solve the non-differentiable problem of … File Size: 2MB Page Count: 12

File Size: 2MB
Page Count: 12

DA: 96 PA: 28 MOZ Rank: 53

An Improved STBP for Training High-Accuracy and Low …
ieee.org

https://ieeexplore.ieee.org/document/9474151

WEBTherefore, this paper proposes four enhancing schemes for the existing direct-training algorithm, Spatio-Temporal Back-Propagation (STBP), to improve not only the …

DA: 11 PA: 55 MOZ Rank: 7

A 40-nm 1.89-pJ/SOP Scalable Convolutional Spiking …
ieee.org

https://ieeexplore.ieee.org/document/10310163

WEBIn this article, we introduce a scalable convolutional SNN learning core for energy-efficient training utilizing the spatiotemporal back-propagation (STBP) algorithm. We modify the …

DA: 79 PA: 7 MOZ Rank: 73

Spatio-Temporal Backpropagation for Training High …
arxiv.org

https://arxiv.org/pdf/1706.02609v2.pdf

WEBThis has challenged the extensive use of SNNs in various applications. In this work, we will present a novel framework based on iterative leaky integrate- and-ﬁre (LIF) model that …

DA: 93 PA: 40 MOZ Rank: 5

Going Deeper With Directly-Trained Larger Spiking …
arxiv.org

https://arxiv.org/pdf/2011.05280.pdf

WEBA recent work (Wu et al. 2018), which proposes a learning algorithm called “Spatio-temporal backpropagation” (STBP) with an approach to training SNNs directly on ANN-oriented …

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Going Deeper With Directly-Trained Larger Spiking …
arxiv.org

https://arxiv.org/abs/2011.05280

WEBOct 29, 2020 · The paper proposes a method to train deep spiking neural networks (SNNs) using spatio-temporal backpropagation (STBP) and threshold-dependent batch …

DA: 91 PA: 32 MOZ Rank: 92

Home - South Texas Building Partners
stbp.com

https://stbp.com/

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A Low-Bitwidth Integer-STBP Algorithm for Efficient …
acm.org

https://dl.acm.org/doi/10.1145/3566097.3567875

WEBJan 31, 2023 · In this paper, we propose an improved approach that converts the high-precision floating-point operations to low-bitwidth integer operations for an existing direct …

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