Conference proceeding
Modeling of local neural networks of the visual cortex and applications to image processing
Proceedings of SPIE, v 1469(1), pp 737-748
01 Aug 1991
Abstract
A model of an iso-orientation domain in the visual cortex is developed. The iso-orientation domain is represented as a neural network with retinotopically organized afferent inputs and anisotropic lateral inhibition formed by feedback connections via inhibitory interneurons. Temporal dynamics of neuron responses to oriented stimuli is studied. The results of computer simulations are compared with those of neurophysiological experiments. It is shown that the later phase of a neuron response has a more sharp orientation tuning than the initial one. It is suggested that the initial phase of a neuron response encodes intensity parameters of visual stimuli, whereas the later phase encodes its orientation. The design of the neural network preprocessor and the architecture of the system for visual information processing, based on the idea of parallel-sequential processing, are proposed. An example of a test image processing is presented.
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Details
- Title
- Modeling of local neural networks of the visual cortex and applications to image processing
- Creators
- Ilya A Rybak - Southern Federal UniversityNatalia A Shevtsova - Southern Federal UniversityLubov N Podladchikova - Southern Federal University
- Publication Details
- Proceedings of SPIE, v 1469(1), pp 737-748
- Conference
- Applications of Artificial Neural Networks II, 2nd
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:A1991BU16G00076
- Other Identifier
- 991019231630904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Neurosciences
- Optics