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Cited by 13,333Neural Networks and ApplicationsMemory and Neural MechanismsNeural dynamics and brain function

The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.

The perceptron: A probabilistic model for information storage and organization in the brain.

Rosenblatt, F.·1958·Psychological Review
DOI 10.1037/h0042519
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Abstract

If we are eventually to understand the capability of higher organisms for perceptual recognition, generalization, recall, and thinking, we must first have answers to three fundamental questions: 1. How is information about the physical world sensed, or detected, by the biological system? 2. In what form is information stored, or remembered? 3. How does information contained in storage, or in memory, influence recognition and behavior? The first of these questions is in the

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Crossref · 10.1037/h0042519

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14 of 14 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Rosenblatt, F.
Corresponding author
Rosenblatt, F.
Venue
Psychological Review
Publisher
American Psychological Association (APA)
Published
1958
Volume
65
Issue
6
Pages
386-408
ISSN
  • 0033-295X (ISSN-L)
  • 1939-1471
DOI
10.1037/h0042519
OpenAlex
W2040870580
Semantic Scholar
5d11aad09f65431b5d3cb1d85328743c9e53ba96
Cited by
12,280
References
15
Citations by year
2026: 659 · 2025: 1019 · 2024: 969 · 2023: 933 · 2022: 945 · 2021: 965 · 2020: 898 · 2019: 826 · 2018: 494 · 2017: 411 · 2016: 318 · 2015: 313 · 2014: 282 · 2013: 332 · 2012: 255
FWCI
14.98
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Review (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
perceptron, probabilistic models, information storage, memory, perceptual identification, generalization, memory retrieval
MeSH terms
Brain, Humans, Perception, Models, Statistical, Information Storage and Retrieval, Neural Networks, Computer

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