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
Cohen, 1986, Masking fields: A massively parallel architecture for discovering, learning, and recognizing multiple groupings of patterned data, Applied Optics
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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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A massively parallel architecture for a self-organizing neural pattern recognition machine

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