Brain-Inspired Constructive Learning Algorithms with Evolutionally Additive Nonlinear Neurons.
Le-Heng FangWei LinQiang LuoPublished in: Int. J. Bifurc. Chaos (2018)
Keyphrases
- learning algorithm
- neural network
- machine learning algorithms
- spike trains
- synaptic plasticity
- neural model
- learning problems
- machine learning
- mercer kernels
- neural mechanisms
- cognitive functions
- neuronal networks
- cortical areas
- computational neuroscience
- cerebral cortex
- back propagation
- training data
- spiking neural networks
- human brain
- learning tasks
- visual cortex
- learning scheme
- hidden layer
- brain images
- biologically plausible
- primary visual cortex
- active learning
- supervised learning
- biologically inspired
- reinforcement learning
- support vector
- artificial neural networks
- learning process
- training samples
- spiking neurons
- receptive fields
- sensory inputs
- brain activity
- brain tissue