A. David Ing - Concepedia

Concepedia

Author

A. David Ing

The University of Texas at Austin

Also Known As

A. D. Ing, A. DAVID ING, A. David Ing, A. Ing, Alex Ing, Almon D. Ing

21

Publications

1.2K

Citations

14

H-Index

60

Concepts

All Affiliations

The University of Texas at Austin University of California San Diego VA San Diego Healthcare System

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About

A. David Ing is an author at The University of Texas at Austin specializing in cognitive science, social sciences, and cognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	136
2	Language Studies	3	3	301
3	Management	1	1	99
4	Medicine	1	1	44
5	Public Health	1	1	164

A. David Ing

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15

Publications

1.2K

Citations

14

H-Index

	Year	Citations
Neural Correlates of Rule-Based and Information-Integration Visual Category Learning Emi Nomura, W. Todd Maddox, J. Vincent Filoteo, Cerebral Cortex NeuropsychologyObject CategorizationBrain FunctionSuccessful Rb CategorizationNeurolinguistics	2006	224
Delayed Feedback Disrupts the Procedural-Learning System but Not the Hypothesis-Testing System in Perceptual Category Learning. W. Todd Maddox, A. David Ing Journal of Experimental Psychology Learning Memory and Cognition Procedural-learning SystemCognitionCategory LearningAttentionSocial Sciences	2005	164
Disrupting feedback processing interferes with rule-based but not information-integration category learning W. Todd Maddox, F. Gregory Ashby, A. David Ing, Memory & Cognition Artificial IntelligenceConcept FormationLearning ProblemBehavioral SciencesCognitive Science	2004	153
Evidence for a procedural-learning-based system in perceptual category learning W. Todd Maddox, Corey J. Bohil, A. David Ing Psychonomic Bulletin & Review Concept FormationCognitive ScienceNeurolinguisticsCognitive DevelopmentCognition	2004	121
Category Number Impacts Rule-Based but Not Information-Integration Category Learning: Further Evidence for Dissociable Category-Learning Systems. W. Todd Maddox, J. Vincent Filoteo, Kelli D. Hejl, Journal of Experimental Psychology Learning Memory and Cognition Artificial IntelligenceConcept FormationDissociable Category-learning SystemsInformation-integration Category LearningCategory Number	2004	99
Cortical and subcortical brain regions involved in rule-based category learning J. Vincent Filoteo, W. Todd Maddox, Alan N. Simmons, Neuroreport NeuropsychologyObject CategorizationBrain FunctionNeurolinguisticsAffective Neuroscience	2005	80
Optimal stimulus encoders for natural tasks Wilson S. Geisler, J. Najemnik, A. David Ing Journal of Vision EngineeringObject CategorizationNeural RecodingAttentionSocial Sciences	2009	61
Region grouping in natural foliage scenes: Image statistics and human performance A. David Ing Journal of Vision Scene AnalysisNatural Foliage ScenesEngineeringObject CategorizationForestry	2010	61
Characterizing rule-based category learning deficits in patients with Parkinson's disease J. Vincent Filoteo, W. Todd Maddox, A. David Ing, Neuropsychologia Learning ProblemCognitive ScienceNeuropsychologyBrain FunctionMedicine	2006	44
The impact of irrelevant dimensional variation on rule-based category learning in patients with Parkinson's disease J. Vincent Filoteo, W. Todd Maddox, A. David Ing, Journal of the International Neuropsychological Society	2005	42

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