Cited by 2,525Neural Networks and ApplicationsCognitive Computing and NetworksNeural dynamics and brain function

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A massively parallel architecture for a self-organizing neural pattern recognition machine

Carpenter, Gail A., Grossberg, Stephen·1987·Computer Vision, Graphics, and Image Processing

DOI 10.1016/s0734-189x(87)80014-2

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Carpenter, 1985, Neural dynamics of adaptive pattern recognition: Priming, search, attention, and category formation, Soc. Neurosci. Abstracts, 11, 1110
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Authors: Carpenter, G. A., & Grossberg, S.
Affiliations: Boston University (US)
ORCID: Grossberg, Stephen
Venue: Computer Vision, Graphics, and Image Processing
Publisher: Elsevier BV
Published: 1987-01
Volume: 37
Issue: 1
Pages: 54-115
ISSN: 0734-189X (ISSN-L)
DOI: 10.1016/s0734-189x(87)80014-2
OpenAlex: W2144219012
Cited by: 2,525
References: 44
Citations by year: 2026: 13 · 2025: 33 · 2024: 23 · 2023: 26 · 2022: 24 · 2021: 41 · 2020: 37 · 2019: 54 · 2018: 37 · 2017: 44 · 2016: 42 · 2015: 58 · 2014: 57 · 2013: 57 · 2012: 77
FWCI: 66.79
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Computer Vision Graphics and Image Processing (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: self-organizing neural networks, pattern recognition, category learning, top-down attention, prototype, attentional priming, gain control, sustained attention, intermodal competition, parallel search, template learning, invariant features, emergent properties

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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.

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A massively parallel architecture for a self-organizing neural pattern recognition machine

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