A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps.
Ling ZhangJing YangCong ShiYingcheng LinWei HeXichuan ZhouXu YangLiyuan LiuNanjian WuPublished in: Sensors (2021)
Keyphrases
- cost efficient
- vlsi architecture
- high speed
- low power
- convolutional neural network
- real time
- spiking neurons
- spike trains
- low complexity
- vlsi implementation
- face detection
- hodgkin huxley
- power consumption
- neural network
- bio inspired
- biologically plausible
- biologically inspired
- multi class
- feature space
- feature selection