A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture.
Kaveh Akbarzadeh-SherbafMikaeel BahmaniDanial GhiaseddinSaeed SafariAbdolHossein VahabiePublished in: CoRR (2021)
Keyphrases
- spiking neural networks
- hardware architecture
- hardware design
- hardware implementation
- network architecture
- real time
- biologically inspired
- pipelined architecture
- neural models
- fpga technology
- spiking neurons
- mobile robot
- field programmable gate array
- learning environment
- artificial intelligence
- learning mechanisms
- biologically plausible
- machine learning
- xilinx virtex
- neural network