MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks.
Ruokai YinYuhang LiAbhishek MoitraPriyadarshini PandaPublished in: ASPDAC (2024)
Keyphrases
- energy efficient
- spiking neural networks
- floating point
- biologically inspired
- wireless sensor networks
- energy consumption
- learning rules
- spiking neurons
- sensor networks
- feed forward
- artificial neural networks
- biologically plausible
- energy efficiency
- data dissemination
- multi core architecture
- base station
- routing protocol
- motor control
- neural network
- routing algorithm
- sensor nodes
- wireless networks
- response time
- expert systems
- training algorithm
- data transmission
- power consumption
- machine learning