When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.
Gourav DattaZeyu LiuJames DiffenderferBhavya KailkhuraPeter A. BeerelPublished in: CoRR (2023)
Keyphrases
- bio inspired
- energy efficient
- deep learning
- artificial neural networks
- low latency
- neural models
- spiking neural networks
- wireless sensor networks
- energy consumption
- feed forward
- sensor networks
- swarm intelligence
- high speed
- unsupervised learning
- neural network
- back propagation
- base station
- neural network model
- highly efficient
- learning rules
- routing protocol
- computational intelligence
- real time
- energy efficiency
- virtual machine
- machine learning
- data sets
- biologically inspired
- sensor nodes
- cost effective
- genetic algorithm
- routing algorithm
- radial basis function
- learning strategies
- particle swarm optimization
- biologically plausible
- low cost