Enabling energy-Efficient object detection with surrogate gradient descent in spiking neural networks.
Jilong LuoShanlin XiaoYinsheng ChenZhiyi YuPublished in: CoRR (2023)
Keyphrases
- energy efficient
- spiking neural networks
- object detection
- learning rules
- wireless sensor networks
- biologically inspired
- energy consumption
- sensor networks
- spiking neurons
- artificial neural networks
- base station
- feed forward
- neural network
- biologically plausible
- data dissemination
- energy efficiency
- computer vision
- multi core architecture
- object recognition
- routing algorithm
- data transmission
- routing protocol
- learning scheme
- machine learning
- training algorithm
- receptive fields
- sensor nodes
- back propagation
- visual cortex
- human computer interaction
- multi modal
- real time