A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis.
David LipshutzYanis BahrounSiavash GolkarAnirvan M. SenguptaDmitri B. ChklovskiiPublished in: Neural Comput. (2021)
Keyphrases
- canonical correlation analysis
- biologically plausible
- feed forward
- neural network
- network architecture
- biologically inspired
- back propagation
- synaptic weights
- canonical correlations
- least squares
- artificial neural networks
- spiking neural networks
- recurrent neural networks
- partial least squares
- visual cortex
- hidden layer
- bp neural network
- neural network model
- pattern recognition
- genetic algorithm
- fault diagnosis
- fuzzy logic
- multilayer perceptron
- dimensionality reduction methods
- probabilistic model