Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks.
Oleg NikitinOlga LukyanovaAlex KuninPublished in: Neural Networks (2021)
Keyphrases
- spiking neural networks
- biologically inspired
- feed forward
- biologically plausible
- synaptic plasticity
- synaptic weights
- spiking neurons
- motor control
- artificial neural networks
- learning rules
- neural network
- control method
- control system
- learning mechanism
- visual perception
- training algorithm
- robotic systems
- vision system