Constraining the neural representation of the visual world

Trends in Cognitive Sciences

Volumn 6, Issue 3, 2002, Pages 125-131

  Edelman, Shimon ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; OBJECT RECOGNITION;

NEUROSCIENCE;

NEUROLOGY;

COGNITION; COMPUTER; HUMAN; NEUROOPHTHALMOLOGY; NEUROPHYSIOLOGY; NEUROPSYCHOLOGY; NEUROSCIENCE; PHILOSOPHY; READING; RECOGNITION; REVIEW; SPATIAL DISCRIMINATION; TASK PERFORMANCE; THEORETICAL MODEL; VISION; VISUAL SYSTEM;

EID: 0036498772     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-6613(00)01854-4     Document Type: Review

References (49)

1. Recognition by components: A theory of human image understanding
2. Visual recognition and categorization on the basis of similarities to multiple class prototypes
3. Modeling the shape of the scene: A holistic representation of the spatial envelope
4. Decomposition of a visual scene into three-dimensional bodies
5. How to see a simple world: An exegesis of some computer programs for scene analysis
6. Scene modeling: A structural basis for image description
7. Symbolic reasoning among 3D models and 2D images
8. Learning paradigms for image interpretation
9. א0 sentences
10. A review on image segmentation techniques
11. On the information extracted from a glance at a scene
12. Categorizing objects in isolation and in scenes: What the superordinate is good for
13. Does consistent scene context facilitate object perception?
14. High-level scene perception
15. Of sensory systems and the 'aboutness' of mental states
16. Distributed representations
17. (Coarse Coding of Shape Fragments) + (Retinotopy) = Representation of Structure
18. A productive, systematic framework for the representation of visual structure
19. Solving the real mysteries of visual perception: The world as an outside memory
20. Unsupervised statistical learning of higher-order spatial structures from visual scenes
21. Probabilistic principles in unsupervised learning of visual structure: Human data and a model
22. Spatial attention and the apprehension of spatial relations
23. Preattentive object files: Shapeless bundles of basic features
24. The role of attention in priming for left-right reflections of object images: Evidence for a dual representation of object shape
25. Perceiving visually presented objects: Recognition, awareness, and modularity
26. The binding problem
27. A feature integration theory of attention
28. Change blindness
29. The identity theory of mind
30. Will there be a neuroscientific theory of consciousness?
31. Reduction, qualia, and the direct introspection of brain states
32. Motion perception and the mind-body problem
33. Binding in models of perception and brain function
34. Linking propositions
35. A connectionist theory of phenomenal experience
36. Integration of what and where in the primate prefrontal cortex
37. Spatial sensitivity of Macaque inferior temporal neurons
38. A theory for cerebral neocortex
39. Commentary on [Marr's] 'theory for cerebral neocortex