A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks

2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)(2021)

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摘要
Temporal Neural Networks (TNNs) are spiking neural networks that use time as a resource to represent and process information, similar to the mammalian neocortex. In contrast to compute-intensive deep neural networks that employ separate training and inference phases, TNNs are capable of extremely efficient online incremental/continual learning and are excellent candidates for building edge-native ...
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关键词
Training,Deep learning,Microarchitecture,Neurons,Buildings,Logic gates,Very large scale integration
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