An Efficient Multilayer Spiking Convolutional Neural Network Processor for Object Recognition With Low Bitwidth and Channel-Level Parallelism

Previous studies have shown that the event-driven multilayer spiking convolutional neural network (SCNN) can reduce computational complexity largely while keeping accurate. To fully utilize the advantages of SCNN, this brief proposed an efficient multilayer SCNN processor for object recognition. The...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Jg. 69; H. 12; S. 5129 - 5133
Hauptverfasser:	Feng, Lichen, Zhang, Yueqi, Zhu, Zhangming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Channel-level parallel Convolutional neural networks Encoding Image classification Microprocessors Multilayers Neurons Nonhomogeneous media Object recognition Parallel operation Random access memory rank-order coding sparse event spike-centric Spiking spiking convolutional neural network Support vector machines
ISSN:	1549-7747, 1558-3791
Online-Zugang:	Volltext
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