Book chapter
Chapter 108 - Attention-Guided Recognition Based on “What” and “Where” Representations: A Behavioral Model
Neurobiology of Attention, pp 663-670
2005
Abstract
This chapter describes the model of attention-guided visual perception and recognition previously published in Vision Research. The model contains (1) a low-level subsystem that performs a fovealike transformation and detection of primary features (edges) and (2) a high-level subsystem that includes separated “what” (sensory memory) and “where”(motor memory) subsystems. In the model, image recognition occurs under top-down control of visual=attention during the execution of a behavioral recognition program formed during the primary viewing of the image. The recognition program contains both programmed movements of an attention window (stored in the motor memory) and predicted image fragments (stored in the sensory memory) for each consecutive fixation. The model shows the ability to recognize complex images invariantly with respect to shift, rotation, and scale.
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11 citations in Scopus
Details
- Title
- Chapter 108 - Attention-Guided Recognition Based on “What” and “Where” Representations: A Behavioral Model
- Creators
- Ilya A. Rybak - Drexel UniversityValentina I. Gusakova - Rostov State University, AB Kogan Research Institute for Neurocybernetics, 194/1 Stachka Avenue, Rostov-on-Don, Russia, 344090Alexander V. Golovan - Rostov State University, AB Kogan Research Institute for Neurocybernetics, 194/1 Stachka Avenue, Rostov-on-Don, Russia, 344090Lubov N. Podladchikova - Rostov State University, AB Kogan Research Institute for Neurocybernetics, 194/1 Stachka Avenue, Rostov-on-Don, Russia, 344090Natalia A. Shevtova - Rostov State University, AB Kogan Research Institute for Neurocybernetics, 194/1 Stachka Avenue, Rostov-on-Don, Russia, 344090
- Publication Details
- Neurobiology of Attention, pp 663-670
- Publisher
- Elsevier
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Scopus ID
- 2-s2.0-84882560704
- Other Identifier
- 991019173799204721