Next:
Introduction
Up:
Receptive Fields for Vision:
Previous:
Receptive Fields for Vision:
Contents
Introduction
Receptive fields in the visual pathway: basic issues
Detailed profiles
Spatial acuity
Function
Parallel distributed processing and RFs
General-purpose computing with connections
Computing with structured connection patterns
Convolutional NNs and receptive fields
Sensory coding
Interpolation or channel coding?
Feature detectors or spatial frequency analyzers?
Gratings
Features
Suspicious coincidences and Barlow's Probabilistic Pandemonium
Statistics of natural images
Recognition
Remapping of similarity spaces
Inverse optics: RFs and regularization
Similarity within and between object classes
Recognition as function approximation
Categorization
Similarity to prototypes
Conditions for veridical representation
Constraints on the distal structure
Constraints on the distal-to-proximal mapping
Strict rank preservation.
Local rank preservation.
Local approximate rank preservation.
Summary
The new Pandemonium
Conclusion
Acknowledgments
References
About this document ...
Edelman Shimon
Tue Nov 28 13:24:55 IST 1995