FPGA-optimized Hardware acceleration for Spiking Neural Networks.
Alessio CarpegnaAlessandro SavinoStefano Di CarloPublished in: CoRR (2022)
Keyphrases
- spiking neural networks
- field programmable gate array
- hardware implementation
- hardware architecture
- low cost
- parallel hardware
- biologically inspired
- hardware design
- software implementation
- spiking neurons
- dedicated hardware
- reconfigurable hardware
- single chip
- real time
- feed forward
- embedded systems
- signal processing
- xilinx virtex
- fpga technology
- artificial neural networks
- biologically plausible
- motor control
- learning rules
- training algorithm
- hardware description language
- neural network
- computing systems
- parallel computing
- radial basis function
- fpga device
- image processing