Simulation of the Spiking Neural Network based on Practical Memristor
In order to gain a better understanding of the brain and explore biologically-inspired computation, significant attention is being paid to research into the spike-based neural computation. Spiking neural network (SNN), which is inspired by the understanding of observed biological structure, has been...
Main Authors: | Zhu Xi, Sun Yi, Liu Haijun, Li Qingjiang, Xu Hui |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201817301025 |
Similar Items
-
Memristor Based Binary Convolutional Neural Network Architecture With Configurable Neurons
by: Lixing Huang, et al.
Published: (2021-03-01) -
Configurable activation function realized by non-linear memristor for neural network
by: Kun Li, et al.
Published: (2020-08-01) -
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
by: Luis A. Camuñas-Mesa, et al.
Published: (2019-08-01) -
Cascaded Architecture for Memristor Crossbar Array Based Larger-Scale Neuromorphic Computing
by: Sheng-Yang Sun, et al.
Published: (2019-01-01) -
Advances in Memristor-Based Neural Networks
by: Weilin Xu, et al.
Published: (2021-03-01)