Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding.
Seongbin OhDongseok KwonGyuho YeomWon-Mook KangSoochang LeeSung Yun WooJangsaeng KimMin Kyu ParkJong-Ho LeePublished in: CoRR (2020)
Keyphrases
- hardware implementation
- spiking neurons
- spiking neural networks
- biologically inspired
- feed forward
- signal processing
- efficient implementation
- software implementation
- artificial neural networks
- biologically plausible
- learning rules
- synaptic weights
- spike trains
- fpga implementation
- hebbian learning
- dedicated hardware
- neural network
- field programmable gate array
- image processing algorithms
- fpga device
- training algorithm
- fpga technology
- fractal encoding
- pattern recognition
- machine learning