no code implementations • 22 Jul 2019 • Zhiri Tang
However, although state-of-the-art works on STDP based MNNs have many applications such as pattern recognition, STDP mechanism brings relatively complex hardware framework and low processing speed, which block MNNs' hardware realization.
no code implementations • 28 Apr 2019 • Zhiri Tang, Yan-Hua Chen, Ruohua Zhu, Hao Wang, Jin He, Qijun Huang, Sheng Chang
With the development of research on novel memristor model and device, fully memristive neural networks have become a hot research topic recently.
Emerging Technologies
no code implementations • 16 Jan 2019 • Zhiri Tang, Yanhua Chen, Shizhuo Ye, Ruihan Hu, Qijun Huang, Sheng Chang
In this paper, a fully memristive spiking-neuron learning framework is introduced, in which a neuron structure is just built of one drift and one diffusion memristive models.
Emerging Technologies
no code implementations • 1 Jan 2019 • Zhiri Tang, Ruohua Zhu, Peng Lin, Jin He, Hao Wang, Qijun Huang, Sheng Chang, Qiming Ma
Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently.
