Revision [1495]
Most recent edit made on 2007-08-03 05:33:00 by DarTarAdditions:
- Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A fast and frugal approach to the study of visual properties
8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003
pdf extended abstract - Taraborelli, D. (2002)
Feature binding and object perception. Does object awareness require feature conjunction?
10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002
pdf full text
Deletions:
- Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Proceedings of the 26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A fast and frugal approach to the study of visual properties
Proceedings of the 8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003
pdf extended abstract - Taraborelli, D. (2002)
Feature binding and object perception. Does object awareness require feature conjunction?
Proceedings of the 10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002
pdf full text
Revision [1494]
Edited on 2007-08-03 05:31:52 by DarTarAdditions:
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Documents
Revision [1493]
Edited on 2007-08-03 05:31:19 by DarTarAdditions:
Zenon W. Pylyshyn (Rutgers University)
Deletions:
Zenon Pylyshyn (Rutgers University)
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PhD in Cognitive Science.
Awarded by the Ecole des Hautes Etudes en Sciences Sociales (Paris), 6 October 2005.
Awarded by the Ecole des Hautes Etudes en Sciences Sociales (Paris), 6 October 2005.
Deletions:
PhD in Cognitive Science, 6 October 2005.
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris.
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris.
Additions:
Basic Features in Vision
An analysis of constraints on perceptually relevant sensory properties
Deletions:
Basic Features in Vision
An analysis of constraints on perceptually relevant sensory properties
Additions:
- Taraborelli, D. (2006)
Perceptual shunts
Proceedings of the 2006 SIFA Annual Meeting, Milano, 28-30 September 2006
html abstract
Deletions:
- Taraborelli, D. (2006)
Perceptual shunts
Proceedings of the 2006 SIFA Annual Meeting, Milano, 28-30 September 2006
Additions:
- Taraborelli, D. (2006)
Perceptual shunts
Proceedings of the 2006 SIFA Annual Meeting, Milano, 28-30 September 2006 - Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Perception, vol. 32 (Supplement ECVP) 2003
(published abstract)
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Proceedings of the 26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A fast and frugal approach to the study of visual properties
Proceedings of the 8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003
pdf extended abstract - Taraborelli, D. (2002)
Feature binding and object perception. Does object awareness require feature conjunction?
Proceedings of the 10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002
pdf full text
Deletions:
- Taraborelli, D. (2006)
Perceptual shunts
[Brains, Persons, and Society, 2006 SIFA meeting, Milano, 28-30 September 2006] - 'Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Perception, vol. 32 (Supplement ECVP) 2003
(published abstract)
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
[26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003]
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A fast and frugal approach to the study of visual properties
[8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003]
pdf extended abstract - Taraborelli, D. (2002)
Feature binding and object perception. Does object awareness require feature conjunction?
[10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002]
pdf full text
Revision [1303]
Edited on 2007-03-02 04:43:24 by DarTarAdditions:
- Taraborelli, D. (2006)
Perceptual shunts
[Brains, Persons, and Society, 2006 SIFA meeting, Milano, 28-30 September 2006] - 'Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Perception, vol. 32 (Supplement ECVP) 2003
(published abstract)
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
[26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003]
pdf short abstract - Taraborelli, D. (2003)
What is a 'feature'? A fast and frugal approach to the study of visual properties
[8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003]
pdf extended abstract - Taraborelli, D. (2002)
Feature binding and object perception. Does object awareness require feature conjunction?
[10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002]
pdf full text
Deletions:
- [2006] Taraborelli, D.
Perceptual shunts
[Brains, Persons, and Society, 2006 SIFA meeting, Milano, 28-30 September 2006] - [2003] Taraborelli, D.
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Perception, vol. 32 (Supplement ECVP) 2003
(published abstract)
pdf short abstract - [2003] Taraborelli, D.
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
[26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003]
pdf short abstract - [2003] Taraborelli, D.
What is a 'feature'? A fast and frugal approach to the study of visual properties
[8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003]
pdf extended abstract - [2002] Taraborelli, D.
Feature binding and object perception. Does object awareness require feature conjunction?
[10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002]
pdf full text
Revision [1287]
Edited on 2007-03-02 03:23:38 by DarTarAdditions:
Abstract
Documents
References
- [2006] Taraborelli, D.
Perceptual shunts
[Brains, Persons, and Society, 2006 SIFA meeting, Milano, 28-30 September 2006] - [2003] Taraborelli, D.
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
Perception, vol. 32 (Supplement ECVP) 2003
(published abstract)
pdf short abstract - [2003] Taraborelli, D.
What is a 'feature'? A meta-analysis of selection criteria for salient visual properties
[26th European Conference on Visual Perception - ECVP 2003, Paris, September 2003]
pdf short abstract - [2003] Taraborelli, D.
What is a 'feature'? A fast and frugal approach to the study of visual properties
[8th International Colloquium on Cognitive Science - ICCS 2003, San Sebastián, May 2003]
pdf extended abstract - [2002] Taraborelli, D.
Feature binding and object perception. Does object awareness require feature conjunction?
[10th Annual Meeting of the European Society for Philosophy and Psychology - ESPP 2002, Lyon, July 2002]
pdf full text
Deletions:
Abstract
Documents
Revision [1246]
Edited on 2006-12-11 09:24:30 by DarTarAdditions:
Basic Features in Vision
An analysis of constraints on perceptually relevant sensory properties
Deletions:
Basic Features in Vision
An analysis of constraints on perceptually relevant sensory properties
Additions:
PhD in Cognitive Science, 6 October 2005.
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris.
This project was supported by a 3-year grant (allocation de recherche) from the French Ministry of Education (2001-2004) and by a 1-year grant from the European Network of Excellence ENACTIVE (2005) (IST-2002-002114).
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris.
This project was supported by a 3-year grant (allocation de recherche) from the French Ministry of Education (2001-2004) and by a 1-year grant from the European Network of Excellence ENACTIVE (2005) (IST-2002-002114).
Deletions:
PhD dissertation in Cognitive Science
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris, 6 October 2005.
This project was supported by a 3-year grant (allocation de recherche) from the French Ministry of Education (2001-2004) and by a 1-year grant from the European Network of Excellence ENACTIVE (2005).
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris, 6 October 2005.
This project was supported by a 3-year grant (allocation de recherche) from the French Ministry of Education (2001-2004) and by a 1-year grant from the European Network of Excellence ENACTIVE (2005).
Revision [1230]
Edited on 2006-11-25 09:43:03 by DarTarAdditions:
Funding
This project was supported by a 3-year grant (allocation de recherche) from the French Ministry of Education (2001-2004) and by a 1-year grant from the European Network of Excellence ENACTIVE (2005).Revision [1223]
Edited on 2006-11-25 03:26:16 by DarTarAdditions:
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which regularities in the sensory environment seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contexts. These correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be efficiently accomplished by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contexts. These correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be efficiently accomplished by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
Deletions:
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contextx. Distributional learning of these correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be efficiently accomplished by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contextx. Distributional learning of these correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be efficiently accomplished by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
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Revision [976]
Edited on 2006-06-02 17:17:05 by DarTarAdditions:
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Revision [905]
Edited on 2006-03-31 10:25:22 by DarTarAdditions:
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contextx. Distributional learning of these correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be efficiently accomplished by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
Deletions:
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contextx. Distributional learning of these correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be accomplished with astonishing effectiveness by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
Revision [904]
Edited on 2006-03-31 10:23:09 by DarTarAdditions:
The interest in the study of cases of perceptual abilities strongly dependent on the contingent structure of the perceptual environment is motivated by two main reasons.
Deletions:
The interest in the study of cases of perceptual abilities strongly dependent on the contingent structure of the environment is motivated by two main reasons.
Revision [903]
Edited on 2006-03-31 10:18:44 by DarTarAdditions:
This work addresses a theoretically contentious issue in perceptual science, namely the characterization of "basic visual features" (i.e., properties of the visual stimulation that are assumed to be the elementary constituents of the functional input of visual perception). The goal of this work is twofold.
Deletions:
This work addresses a theoretically contentious issue in perceptual science, namely the characterization of "basic visual features" (i.e., a lexicon of elementary properties of the visual stimulation that are assumed to determine the functional input of perceptual processing). The goal of this work is twofold.
Revision [899]
Edited on 2006-03-30 19:15:20 by DarTarAdditions:
On the one hand, I articulate the traditional constraints on feature basicness that rely on merely internalist criteria. "Primitiveness constraints" - just to mention the most important example - represent a paradigmatic case of basicness criteria that rely on assumptions traditionally drawn from a merely internalist account of the structure and functioning of perceptual systems.
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
Deletions:
On the one hand, I articulate the traditional constraints on feature basicness that rely on merely internalist criteria. Primitiveness constraints - just to mention the most important example - represent a paradigmatic case of basicness criteria that rely on assumptions traditionally drawn from a merely internalist account of the structure and functioning of perceptual systems.
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
Revision [898]
The oldest known version of this page was edited on 2006-03-30 19:14:34 by DarTarBasic Features in Vision
An analysis of constraints on perceptually relevant sensory properties
![[basic features picture]](images/grosst.jpg "Stimulus effectiveness in single cell recordings of the macaque visual cortex - Gross et al. (1972)")
PhD dissertation in Cognitive Science
Defended at the Ecole des Hautes Etudes en Sciences Sociales, Paris, 6 October 2005.
Mention: trčs honorable avec félicitations du jury.
Supervisor
Roberto Casati (CNRS)Jury
Jérôme Dokic (EHESS)Pierre Jacob (CNRS)
Pascal Mamassian (CNRS)
Zenon Pylyshyn (Rutgers University)
Hosting lab
Institut Jean Nicod (UMR 8129)Abstract
This work addresses a theoretically contentious issue in perceptual science, namely the characterization of "basic visual features" (i.e., a lexicon of elementary properties of the visual stimulation that are assumed to determine the functional input of perceptual processing). The goal of this work is twofold.On the one hand, I articulate the traditional constraints on feature basicness that rely on merely internalist criteria. Primitiveness constraints - just to mention the most important example - represent a paradigmatic case of basicness criteria that rely on assumptions traditionally drawn from a merely internalist account of the structure and functioning of perceptual systems.
On the other hand, I contrast this class of constraints with constraints based on adaptive criteria, i.e. criteria that define what a basic feature is on the basis of a match between an organism's adaptive needs and the structure of its sensory environment. I review, in particular, some case studies of perceptual abilities in which environmental regularities seem to play a major role in the definition of feature basicness, like perceptual shunt mechanisms.
Perceptual shunt mechanisms (Keil, 2000; Keil et al., 2002) can be described as perceptual strategies allowing the solution of relatively complex perceptual problems by relying on low-level patterns that are robustly correlated with high-level properties within specific environmental contextx. Distributional learning of these correlations between low-level patterns and high-level properties (or corresponding natural constraints embodied in perceptual systems) can account for several cases of apparent smart behavior in organisms with limited perceptual and cognitive resources. It is in virtue of these contingent (although statistically robust) correlations that seemingly complex categorization tasks or high-level visual routines can be accomplished with astonishing effectiveness by relatively simple organisms. For example, a bee's ability to solve complex 3D topological tasks (Chen et al., 2003; Pomerantz, 2003) can be accounted for in terms of a sensitivity to relatively simple sensory configurations that bear a statistically reliable correlation with the considered topological properties within their environmental niche.
The interest in the study of cases of perceptual abilities strongly dependent on the contingent structure of the environment is motivated by two main reasons.
On the one hand, such cases allow to revise the traditional criteria for feature basicness, by drawing the attention of researchers on properties and stimulus patterns that have been often disregarded as possible candidates for basic perceptual features.
On the other hand, basic features defined on the basis of adaptive constraints can help dissolve a number of ill-posed problems in perceptual science, which assume that perceptual competence has to be explained without taking into account regularities of the environment in which an organism is embedded.
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