Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback.
Micah RichertDimitry FisherFilip PiekniewskiEugene M. IzhikevichTodd HyltonPublished in: CoRR (2016)
Keyphrases
- fundamental principles
- unsupervised learning
- prediction accuracy
- predictive coding
- theoretical framework
- data compression
- supervised learning
- prediction algorithm
- image compression
- compression algorithm
- compression scheme
- cerebral cortex
- compression efficiency
- lossless compression
- cortical surface
- prediction error
- compression ratio
- deep architectures
- prediction model
- data mining
- semi supervised
- feature selection
- computer vision
- biologically inspired
- model selection
- dimensionality reduction
- biologically plausible
- probabilistic model
- learning algorithm