Multidimensional Signal Coding in the Visual System
Abstract
The aims of this research are (1) To study the multidimensional spatio-temporo-chromatic signal processing capabilities of visual receptive fields. (2) To identify the key attributes of multidimensional image signals which are sensitive to receptive field filters and how these attributes are transformed for encoding beyond the receptive fields. By using digitized sequences of natural images, formulating a representation for natural images, and incorporating properties of specialized visual receptive fields and neural pathways we (1) Propose a model of how the early visual system efficiently codes natural time varying images, first by tracking part of the image, then by matching the spatiotemporal properties of the neural pathway to those of the tracked image. We also propose that retinal architecture which varies with eccentricity also matches the properties of the tracked image. (2) Develop a new model for signal propagation through multiple cell layers in the retina which can incorporate the different cell densities in retinal cell layers. (3) Propose that visual color receptive fields are matched to the spatio-chromatic structure of natural color images.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 23, 1992
- Accession Number
- ADA259836
Entities
People
- Gershon Buchsbaum
Organizations
- University of Pennsylvania