Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks.
William F. PodlaskiChristian K. MachensPublished in: Neural Comput. (2024)
Keyphrases
- low rank
- spiking neural networks
- nonlinear functions
- spiking neurons
- rbf network
- biologically inspired
- feed forward
- linear combination
- neural network
- missing data
- matrix factorization
- convex optimization
- radial basis function
- basis functions
- input output
- singular value decomposition
- semi supervised
- learning rules
- artificial neural networks
- high order
- biologically plausible
- activation function
- high dimensional data
- nonlinear systems
- visual cortex
- back propagation
- rbf neural network
- training algorithm
- active learning
- hidden layer
- pairwise
- learning algorithm
- machine learning
- data sets