Optimizing the energy consumption of spiking neural networks for neuromorphic applications.
Martino SorbaroQian LiuMassimo BortoneSadique SheikPublished in: CoRR (2019)
Keyphrases
- energy consumption
- spiking neural networks
- biologically inspired
- wireless sensor networks
- energy efficient
- energy saving
- energy efficiency
- sensor networks
- spiking neurons
- routing protocol
- artificial neural networks
- data center
- energy conservation
- biologically plausible
- learning rules
- data transmission
- neural network
- base station
- power management
- save energy
- environmental impact
- sensor nodes
- routing algorithm
- motor control
- energy aware
- feed forward
- cluster head
- radial basis function
- total energy
- training algorithm
- artificial intelligence
- data sets