Biologically-inspired neuronal adaptation improves learning in neural networks.
Yoshimasa KuboEric ChalmersArtur LuczakPublished in: CoRR (2022)
Keyphrases
- biologically inspired
- spiking neural networks
- neural network
- learning rules
- biologically plausible
- motor control
- recurrent networks
- learning process
- sensory motor
- reinforcement learning
- feed forward
- receptive fields
- learning scheme
- connectionist systems
- sensory inputs
- scene classification
- neural nets
- computer vision
- learning algorithm
- learning mechanism
- training algorithm
- multiscale