2018
DOI: 10.1002/jhbs.21946
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Attaining landmark status: Rumelhart and McClelland's PDP Volumes and the Connectionist Paradigm

Abstract: In 1986, David Rumelhart and James McClelland published their two‐volume work, Parallel distributed processing: Explorations in microcognition, Volume 1: Foundations and Volume 2: Psychological and biological models. These volumes soon become classic texts in both connectionism, specifically, and in the cognitive science field more generally. Drawing on oral histories, book reviews, translations, citation records, and close textual analysis, this paper analyzes how and why they attained landmark status. It arg… Show more

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Cited by 5 publications
(2 citation statements)
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“…The nonlinearity (Eq. 8) coincidentally resembles the rectifying-saturating static nonlinearities called "neurons" in connectionist neural network models (Gibbons 2019). Hoffman (1999, 2001b) identified models by cross-validation.…”
Section: Dynamic Diversitymentioning
confidence: 99%
“…The nonlinearity (Eq. 8) coincidentally resembles the rectifying-saturating static nonlinearities called "neurons" in connectionist neural network models (Gibbons 2019). Hoffman (1999, 2001b) identified models by cross-validation.…”
Section: Dynamic Diversitymentioning
confidence: 99%
“…Meanwhile, influential theories of human information processing, based loosely on biological neural networks, precipitated the development in AI of artificial neural networks [91], which ultimately paved the way for advances in machine learning that underpin a range of modern-day technologies including object recognition algorithms [92]. In turn, the new algorithms provided insight into the neural mechanisms of visual perception [93,94] and other cognitive functions.…”
Section: Boxes Box 1: Neuroscience and Artificial Intelligence Sittimentioning
confidence: 99%