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Dissociable learning processes in comparative psychology

Overview of attention for article published in Psychonomic Bulletin & Review, August 2017
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Title
Dissociable learning processes in comparative psychology
Published in
Psychonomic Bulletin & Review, August 2017
DOI 10.3758/s13423-017-1353-1
Pubmed ID
Authors

J. David Smith, Barbara A. Church

Abstract

Comparative and cognitive psychologists interpret performance in different ways. Animal researchers invoke a dominant construct of associative learning. Human researchers acknowledge humans' capacity for explicit-declarative cognition. This article offers a way to bridge a divide that defeats productive cross-talk. We show that animals often challenge the associative-learning construct, and that it does not work to try to stretch the associative-learning construct to encompass these performances. This approach thins and impoverishes that important construct. We describe an alternative approach that restrains the construct of associative learning by giving it a clear operational definition. We apply this approach in several comparative domains to show that different task variants change-in concert-the level of awareness, the declarative nature of knowledge, the dimensional breadth of knowledge, and the brain systems that organize learning. These changes reveal dissociable learning processes that a unitary associative construct cannot explain but a neural-systems framework can explain. These changes define the limit of associative learning and the threshold of explicit cognition. The neural-systems framework can broaden empirical horizons in comparative psychology. It can offer animal models of explicit cognition to cognitive researchers and neuroscientists. It can offer simple behavioral paradigms for exploring explicit cognition to developmental researchers. It can enliven the synergy between human and animal research, promising a productive future for both.

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Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 5 11%
Professor 4 9%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 9 19%
Unknown 13 28%
Readers by discipline Count As %
Psychology 20 43%
Business, Management and Accounting 2 4%
Neuroscience 2 4%
Agricultural and Biological Sciences 2 4%
Linguistics 1 2%
Other 6 13%
Unknown 14 30%