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

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

Rosenblatt, F.·1958·Psychological Review

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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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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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Citations

Cites

Cited by

Related

Metadata

Record

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