Duan, Q.X. et al. Spiking Neuron with Spatiotemporal Dynamics and Gain Modualation for Monolithically Integtated Memristive Neural Networks
1-The python framework to train and test the 3-layer SNN to realize the task of hand-write digit recognition with MNIST database.
2-The python and maltab framework to realize the coincidence detection
3-The python framework to realize RF remapping with gain modulation
Authors: Qingxi Duan
Advisors: Prof.Yuchao Yang(Email: yuchaoyang@pku.edu.cn), Prof.Huang Ru(Email: ruhaung@pku.edu.cn)
Smiulation 1-show in the Three-layer SNN forder
Simulation 2-show in the coincidence detection forder
Simulation 3-show in the RF remapping with gain modulation forder
Smiulation 1-show in the Three-layer SNN forder
Simulation 2-show in the coincidence detection forder
Simulation 3-show in the RF remapping with gain modulation forder
Smiulation 1-show in the Three-layer SNN forder
Simulation 2-show in the coincidence detection forder
Simulation 3-show in the RF remapping with gain modulation forder
Smiulation 1-show in the Three-layer SNN forder
Simulation 2-show in the coincidence detection forder
Simulation 3-show in the RF remapping with gain modulation forder
Copyright (c) 2020, Key Laboratory of Microelectronic Devices and Circuits (MOE), Department of Micro/nanoelectronics, Peking University All rights reserved.
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