A high-accuracy and energy-efficient spiking neural network with On-FPGA STDP learning based on asynchronous CORDIC
During the last few decades, Moore's law has propelled the anticipation of exponential growth in computing capabilities, primarily associated with silicon-based processing devices. However, as we approach the culmination of this trend, there is a compelling motivation to explore avenues...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173705 |