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Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating
- Li, Cheng;
- An, Junseop;
- Kweon, Jun Young;
- Song, Yun Heub
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6초록
Recently, researchers have been paying more attention to hardware neural networks with memory devices acting as synapses due to their small area and low power consumption. We prefer to use a phase-change memory (PCM) device as a synapse due to its excellent synapse-like properties. However, due to the programming mechanism of PCMs, the asymmetric characteristic of the PCM between partially set and partially reset is severe. In this paper, we proposed an alternate pulse scheme (APS) to reduce the influence of the asymmetry between long-term potentiation and long-term depression operations.
키워드
Phase-change memory; PCM; neural network; feature extraction; neuron; synapse; Feature extraction; Low power electronics; Neural networks; Neurons; Pulse code modulation; Phase change memory; Asymmetric characteristic; Hardware neural networks; Long term depression; Long-term potentiations; Low-power consumption; Phase change memory (pcm); Programming mechanism; Synapse
- 제목
- Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating
- 저자
- Li, Cheng; An, Junseop; Kweon, Jun Young; Song, Yun Heub
- 발행일
- 2020-02
- 유형
- Article
- 권
- 20
- 호
- 1
- 페이지
- 119 ~ 126