Conference proceeding
Analysis and analog implementation of directionally sensitive shunting inhibitory neural networks
Proceedings of SPIE, v 1473(1)
09 Jul 1991
Abstract
The most significant property of these networks is their differential response to stimuli moving in opposite directions. A quantitative analysis shows that this directional response adapts to mean luminance levels and varies with size and speed of moving objects, as well as with coupling order among elements of a network. Both biophysical and analog hardware implementations of this class of networks are given here. Implementation of unidirectional coupling and the response to directional edges are demonstrated and shown to accord well with that of the neural network.
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Details
- Title
- Analysis and analog implementation of directionally sensitive shunting inhibitory neural networks
- Creators
- Abdesselam Bouzerdoum - University of WashingtonBahram Nabet - Drexel UniversityRobert B Pinter - University of Washington
- Publication Details
- Proceedings of SPIE, v 1473(1)
- Conference
- Visual Information Processing: From Neurons to Chips
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1991BU06C00003
- Other Identifier
- 991019222889604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Neurosciences
- Optics