Resting-potential-adjustable soft-reset integrate-and-fire neuron model for highly reliable and energy-efficient hardware-based spiking neural networks.
Kyungchul ParkSungjoon KimMin-Hye OhWoo Young ChoiPublished in: Neurocomputing (2024)
Keyphrases
- energy efficient
- highly reliable
- neuron model
- spiking neural networks
- spiking neurons
- wireless sensor networks
- biologically inspired
- energy consumption
- feed forward
- sensor networks
- biologically plausible
- real time
- artificial neural networks
- learning rules
- neural network
- hebbian learning
- feed forward neural networks
- energy efficiency
- base station
- motor control
- training algorithm
- spike trains
- routing algorithm
- routing protocol
- input image