Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks.
Yun-Jhu LeeMehmet Berkay OnXian XiaoRoberto ProiettiS. J. Ben YooPublished in: CoRR (2021)
Keyphrases
- energy efficient
- spiking neural networks
- biologically inspired
- neural models
- wireless sensor networks
- sensor networks
- energy consumption
- spiking neurons
- synaptic plasticity
- feed forward
- learning rules
- artificial neural networks
- biologically plausible
- neural network
- hebbian learning
- energy efficiency
- routing protocol
- motor control
- base station
- visual cortex
- learning algorithm
- data transmission
- multi core architecture
- receptive fields
- training algorithm
- data analysis