NDLI: Two pathways to stimulus encoding in category learning?

Content Provider	Springer Nature Link
Author	Davis, Tyler Love, Bradley C. Maddox, W. Todd
Copyright Year	2009
Abstract	Category learning theorists tacitly assume that stimuli are encoded by a single pathway. Motivated by theories of object recognition, we evaluated a dual-pathway account of stimulus encoding. The part-based pathway establishes mappings between sensory input and symbols that encode discrete stimulus features, whereas the image-based pathway applies holistic templates to sensory input. Our experiments used rule-plus-exception structures, in which one exception item in each category violates a salient regularity and must be distinguished from other items. In Experiment 1, we found discrete representations to be crucial for recognition of exceptions following brief training. Experiments 2 and 3 involved multisession training regimens designed to encourage either part- or image-based encoding. We found that both pathways are able to support exception encoding, but have unique characteristics. We speculate that one advantage of the part-based pathway is the ability to generalize across domains, whereas the image-based pathway provides faster and more effortless recognition.
Starting Page	394
Ending Page	413
Page Count	20
File Format	PDF
ISSN	0090502X
Journal	Memory & Cognition
Volume Number	37
Issue Number	4
e-ISSN	15325946
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Arts and Humanities Medicine Neuropsychology and Physiological Psychology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Two pathways to stimulus encoding in category learning?

Two Pathways to Stimulus Encoding in Category Learning?

The nonindependence of stimulus properties in human category learning

Executive attention and task switching in category learning: Evidence for stimulus-dependent representation

The effect of category learning on sensitivity to within-category correlations

Expectations about stimulus structure in implicit learning

Dual-task interference in perceptual category learning

The effect of category focus at encoding on category frequency estimation strategies

The acquisition of category structure in unsupervised learning

Two pathways to stimulus encoding in category learning?

Similar Documents

Two pathways to stimulus encoding in category learning?

Two Pathways to Stimulus Encoding in Category Learning?

The nonindependence of stimulus properties in human category learning

Executive attention and task switching in category learning: Evidence for stimulus-dependent representation

The effect of category learning on sensitivity to within-category correlations

Expectations about stimulus structure in implicit learning

Dual-task interference in perceptual category learning

The effect of category focus at encoding on category frequency estimation strategies

The acquisition of category structure in unsupervised learning

Two pathways to stimulus encoding in category learning?