A Bio-Inspired Hierarchical Spiking Neural Network With Reward-Modulated STDP Learning Rule for AER Object Recognition
Author:
Affiliation:
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9857501/09831055.pdf?arnumber=9831055
Reference71 articles.
1. SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
2. Gradient-based learning applied to document recognition
3. Hierarchical models of object recognition in cortex
4. An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network
5. Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
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