A biologically plausible neural network for multi-channel Canonical Correlation Analysis.
David LipshutzYanis BahrounSiavash GolkarAnirvan M. SenguptaDmitri B. ChklovskiiPublished in: CoRR (2020)
Keyphrases
- multi channel
- canonical correlation analysis
- biologically plausible
- feed forward
- neural network
- network architecture
- biologically inspired
- back propagation
- artificial neural networks
- visual cortex
- hidden layer
- least squares
- partial least squares
- neural network model
- fuzzy logic
- pattern recognition
- genetic algorithm
- biological systems
- receptive fields
- machine learning
- bp neural network
- learning algorithm
- computer vision
- multilayer perceptron
- fault diagnosis
- multiscale