Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms.
Robert A. BaxterWilliam B. LevyPublished in: Neural Networks (2020)
Keyphrases
- biologically inspired
- data driven
- neural network
- learning rules
- spiking neural networks
- activation function
- recurrent networks
- receptive fields
- biologically plausible
- biological systems
- artificial neural networks
- potential field
- back propagation
- neural network model
- multi layered
- humanoid robot
- fuzzy logic
- training process
- sensory motor
- center surround
- colour image segmentation
- high dimensional
- genetic algorithm
- training algorithm
- hidden layer
- multilayer perceptron
- radial basis function
- multi modal
- learning algorithm