Deep learning in spiking neural networks
Amirhossein Tavanaei,Masoud Ghodrati,Saeed Reza Kheradpisheh,Timothée Masquelier,Anthony S. Maida +4 more
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
Implementation of Efficient Teaching Scheme of Human Anatomy and Physiology Based on Multimedia Information Processing Technologies
Yue Ma,Zhuangzhi Zhi +1 more
TL;DR: An application scheme based on the teaching of human anatomy and physiology, namely, PBL, is proposed in this paper , where 95 medical students were randomly divided into two groups: classes 2 and 3 were the experimental classes (48 students), and then, the teaching practice was carried out according to the machine learning route; year 1 and class 4 were the control classes (47 students).
Proceedings ArticleDOI
Peripheral Circuit Optimization with Pre-charge Technique of Spin Transfer Torque MRAM Synapse Array
Minseok Kang,Jongsun Park +1 more
TL;DR: In this article, the authors proposed a STT-MRAM architecture for SNN by minimizing area overhead and operation delay with peripheral circuit optimization, which reduced voltage development delay by 5.75 ns.
Journal Article
Exploring Machine Learning in Healthcare and its Impact on the SARS-CoV-2 Outbreak
Dennie James,Tanya James +1 more
TL;DR: In this paper, the authors evaluate the role of machine learning in the recent coronavirus outbreak, and evaluate the strengths and weaknesses of this approach remain abstruse and therefore, they also aim to evaluate their role in detecting the SARS-CoV-2 virus.
Journal ArticleDOI
Geometric characterization of dynamical structure for neural firing activities induced by inhibitory pulse
Posted Content
Neural Network Degeneration and its Relationship to the Brain.
TL;DR: Fundamental insights to memory loss and generalized learning dysfunction are gained by monitoring the network's error function during network degradation.
References
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Proceedings Article
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan,Andrew Zisserman +1 more
TL;DR: In this paper, the authors investigated the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting and showed that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16-19 layers.
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