On the organization of grid and place cells: Neural de-noising via subspace learning.
David M. SchwartzOnur Ozan KoyluogluPublished in: CoRR (2017)
Keyphrases
- subspace learning
- denoising
- dimensionality reduction
- grid cells
- data representation
- manifold learning
- low dimensional
- maximum margin criterion
- principal component analysis
- image denoising
- face recognition
- semi supervised
- sparse coding
- neural network
- subspace learning algorithm
- sparse representation
- learning algorithm
- high dimensional data
- soft threshold
- data sets
- natural images
- pattern recognition
- visual cortex
- computer vision