An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification
Spiking Neural Networks (SNNs) are promising for energy-efficient spatiotemporal pattern recognition at the edge, but efficient deployment and on-device adaptation require specialized hardware. In this work, we present an FPGA implementation of multilayer SNNs for spatiotemporal pattern classification, in which both in...
Jin-Gang Jin, Yue Ma, Zhenhang Zhang et al.
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