Top-down selective visual attention: A neurodynamical approach

Visual Cognition

Volumn 8, Issue 1, 2001, Pages 118-139

  Deco, G ^a   Zihl, J ^b  

^a SIEMENS AG   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; COGNITION; CONTROLLED STUDY; INFORMATION PROCESSING; NERVE CELL; PRIORITY JOURNAL; SENSORY STIMULATION; VISION; VISUAL STIMULATION;

EID: 0035110946     PISSN: 13506285     EISSN: None     Source Type: Journal    
DOI: 10.1080/13506280042000054     Document Type: Article

References (32)

1. Firing rate models for neural populations
2. Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate spikes, rates and neuronal gain
3. A neural basis for visual search in inferior temporal cortex
4. Function of the thalamic reticular complex: The searchlight hypothesis
5. The locus of interference in the perception of simultaneous stimuli
6. Visual search and stimulus similarity
7. Competitive brain activity in visual attention
8. The extent of processing of noise elements during selective encoding from visual displays
9. Search via Recursive Rejection (SERR): A connectionist model of visual search
10. Competitive mechanisms of selection by space and object: A neuropsychological approach
11. Neural correlates of feature selective memory and pop-out in extrastriate area V4
12. Neural correlates of attentive selection for colours or luminance in extrastriate area V4
13. Computational modeling of spatial attention
14. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
15. A connectionist model for attention in visual selection tasks
16. Attention and cognitive controls
17. Visual search for targets defined by combination of color, shape, and size: An examination of the task constraints on feature and conjunction searches
18. Perceptual grouping and attention in visual search for features and for objects
19. Features and objects: The fourteenth Bartlett memorial lecture
20. A feature-integration theory of attention
21. Conjunction search revisited
22. Analyzing vision at the complexity level
23. Modelling the temporal dynamics of IT neurons in visual search: A mechanism for top-down selective attention
24. Excitatory and inhibitory interactions in localised populations of model neurons
25. Guided Search 2.0: A revised model of Visual Search
26. Guided Search: An alternative to the feature integration model for Visual Search