An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification.
Xiping JuBiao FangRui YanXiaoliang XuHuajin TangPublished in: Neural Comput. (2020)
Keyphrases
- low power
- power consumption
- high speed
- fpga implementation
- low cost
- pattern recognition
- support vector
- spiking neural networks
- low power consumption
- feature extraction
- machine learning
- cmos technology
- feature vectors
- biologically inspired
- feature space
- logic circuits
- computer vision
- learning rules
- image processing algorithms
- hardware implementation
- support vector machine svm
- training set
- multi agent systems