Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing.
Biswadeep ChakrabortySaibal MukhopadhyayPublished in: CoRR (2024)
Keyphrases
- energy efficient
- spiking neural networks
- biologically inspired
- wireless sensor networks
- energy consumption
- feed forward
- learning rules
- sensor networks
- artificial neural networks
- spiking neurons
- neural network
- base station
- energy efficiency
- biologically plausible
- multi core architecture
- motor control
- data dissemination
- recurrent neural networks
- information sources
- multi modal
- machine learning