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- Title
LogicSNN: A Unified Spiking Neural Networks Logical Operation Paradigm.
- Authors
Mo, Lingfei; Wang, Minghao
- Abstract
LogicSNN, a unified spiking neural networks (SNN) logical operation paradigm is proposed in this paper. First, we define the logical variables under the semantics of SNN. Then, we design the network structure of this paradigm and use spike-timing-dependent plasticity for training. According to this paradigm, six kinds of basic SNN binary logical operation modules and three kinds of combined logical networks based on these basic modules are implemented. Through these experiments, the rationality, cascading characteristics and the potential of building large-scale network of this paradigm are verified. This study fills in the blanks of the logical operation of SNN and provides a possible way to realize more complex machine learning capabilities.
- Subjects
BINARY operations; SIMPLE machines; MACHINE learning; SEMANTICS; ACTION potentials
- Publication
Electronics (2079-9292), 2021, Vol 10, Issue 17, p2123
- ISSN
2079-9292
- Publication type
Article
- DOI
10.3390/electronics10172123