Deep learning in spiking neural networks
Amirhossein Tavanaei,Masoud Ghodrati,Saeed Reza Kheradpisheh,Timothée Masquelier,Anthony S. Maida +4 more
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TLDR
The emerging picture is that SNNs still lag behind ANNs in terms of accuracy, but the gap is decreasing, and can even vanish on some tasks, while SNN's typically require many fewer operations and are the better candidates to process spatio-temporal data.About:
This article is published in Neural Networks.The article was published on 2019-03-01 and is currently open access. It has received 756 citations till now. The article focuses on the topics: Spiking neural network & Artificial neural network.read more
Citations
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Journal ArticleDOI
A Low-Power Spike-Like Neural Network Design
Michael Losh,Daniel Llamocca +1 more
TL;DR: The proposed Spiking Hybrid Network (SHiNe), validated on an FPGA, has been found to achieve reasonable performance with a low resource utilization, with some trade-off with respect to hardware throughput and signal representation.
Journal ArticleDOI
An adaptive threshold mechanism for accurate and efficient deep spiking convolutional neural networks
TL;DR: In this paper, an adaptive threshold mechanism for improved balance between weight and threshold of SNNs is proposed, which makes it possible to obtain as small a threshold as possible while distinguishing inputs, so as to generate sufficient firing to drive higher layers.
Journal ArticleDOI
Landing AI on Networks: An Equipment Vendor Viewpoint on Autonomous Driving Networks
TL;DR: Challenges and opportunities of Autonomous Driving Network (ADN) driven by AI technologies are discussed, and a system view is presented, clarifying how AI can be fitted in the network architecture.
Journal ArticleDOI
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples
TL;DR: This work shows that successful white-box adversarial attacks on SNNs are highly dependent on the underlying surrogate gradient technique, and analyzes the transferability of adversarial examples generated by SNNS and other state-of-the-art architectures like Vision Transformers and Big Transfer CNNs.
Journal ArticleDOI
Artificial intelligence in critical care: Its about time!
Rashmi Datta,Shalendra Singh +1 more
TL;DR: The use of AI for data mining in complex ICU settings for protocol formulation and temporal representation and reasoning is discussed.
References
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