Electromechanical memcapacitive neurons for energy-efficient spiking neural networks.
Zixi ZhangYuriy V. PershinIvar MartinPublished in: CoRR (2023)
Keyphrases
- energy efficient
- spiking neural networks
- biologically inspired
- wireless sensor networks
- neural models
- synaptic plasticity
- spiking neurons
- energy consumption
- learning rules
- feed forward
- sensor networks
- biologically plausible
- artificial neural networks
- energy efficiency
- hebbian learning
- base station
- training algorithm
- motor control
- neural network
- routing protocol
- multi core architecture
- receptive fields
- data transmission
- hidden layer
- mobile robot
- genetic algorithm
- cognitive architecture
- biological systems
- data center
- learning algorithm