CyNAPSE: A Low-power Reconfigurable Neural Inference Accelerator for Spiking Neural Networks.
Saunak SahaHenry DuweJoseph ZambrenoPublished in: J. Signal Process. Syst. (2020)
Keyphrases
- low power
- spiking neural networks
- low cost
- biologically inspired
- power consumption
- neural models
- high speed
- spiking neurons
- learning rules
- biologically plausible
- hebbian learning
- feed forward
- power reduction
- single chip
- artificial neural networks
- network architecture
- digital signal processing
- neural network
- logic circuits
- vlsi architecture
- field programmable gate array
- low power consumption
- vlsi circuits
- motor control
- cmos technology
- training algorithm
- gate array
- real time
- computer vision
- image sensor
- receptive fields
- embedded systems
- recurrent neural networks
- image processing