Cited by 379Categorization, perception, and languageMemory Processes and InfluencesVisual perception and processing mechanisms

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Abstraction and The Process of Recognition

Posner, Michael I.·1970·Psychology of Learning and Motivation

DOI 10.1016/s0079-7421(08)60397-7

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Elaboration Skills as a Learning Strategy11Some of the initial conceptualizations and research reported in this chapter derive from my doctoral dissertation. Our current research effort is supported in part by Contract No. DAHC19-76-C-0026 with the Defense Advanced Research Projects Agency and monitored by the Army Research Institute for the Behavioral and Social Sciences. Views and conclusions contained in this document are those of the author and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency, the Army Research Institute, or of the United States Government.
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Authors: Posner, M. I.
Affiliations: University of Oregon (US)
Corresponding author: Posner, Michael I.
ORCID: Posner, Michael I.
Venue: Psychology of Learning and Motivation
Publisher: Elsevier
Published: 1970
Pages: 43-100
ISSN: 0079-7421 (ISSN-L)
DOI: 10.1016/s0079-7421(08)60397-7
OpenAlex: W966303140
Cited by: 379
References: 68
Citations by year: 2026: 2 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 27 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 2 · 2013: 2 · 2012: 2
Type: conference abstract
Language: en
Open access: closed
Locations: The Psychology of learning and motivation/The psychology of learning and motivation (publishedVersion)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords: abstraction, recognition, stimulus encoding, perception, memory, top-down processing, bottom-up processing, superordinate categories, object naming, pattern classification, learning

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