AutoSNN: Towards Energy-Efficient Spiking Neural Networks.
Byunggook NaJisoo MokSeongsik ParkDongjin LeeHyeokjun ChoeSungroh YoonPublished in: CoRR (2022)
Keyphrases
- energy efficient
- spiking neural networks
- biologically inspired
- wireless sensor networks
- energy consumption
- feed forward
- spiking neurons
- sensor networks
- learning rules
- artificial neural networks
- biologically plausible
- neural network
- base station
- energy efficiency
- multi core architecture
- data dissemination
- routing protocol
- routing algorithm
- motor control
- training algorithm
- back propagation
- data transmission
- power consumption
- visual cortex
- shortest path