Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks.
Nikos MalakasisSpyridon ChavlisPanayiota PoiraziPublished in: ACSSC (2023)
Keyphrases
- efficient learning
- spiking neural networks
- biologically inspired
- learning rules
- spiking neurons
- feed forward
- synaptic plasticity
- artificial neural networks
- hebbian learning
- biologically plausible
- learning algorithm
- neural network
- motor control
- training algorithm
- membership queries
- pattern languages
- information processing
- neuron model
- machine learning