Self-configuring spiking neural networks
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概要
- 論文の詳細を見る
We present a simple architecture for Spiking Neural Networks self-configuration. It consists in the hardware implementation of a simple Genetic Algorithm that may be used to obtain optimum network configurations. The proposed solution is applied to estimate the processing efficiency of different networks. Based on the results we develop a new performance metric to calibrate the processing capacity of SNNs.
- The Institute of Electronics, Information and Communication Engineersの論文
The Institute of Electronics, Information and Communication Engineers | 論文
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