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