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Thesaurus of the Cognitive Psychology of Human Memory
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| Id | http://data.loterre.fr/ark:/67375/P66-BX50H77T-W
http://data.loterre.fr/ark:/67375/P66-BX50H77T-W
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| Preferred Name | connectionist model |
| Definitions |
A computational model inspired by the functioning of the brain (although some authors challenge the biological reality of connectionist models.) Connectionist models attempt to account for cognitive activities such as memory, perception, language, assuming these are done through networks of elementary information processing units (referred to as artificial neural networks). Thus, a memory in these simulation models is considered to be a particular state of a network and is characterized in particular by the weights of the connections between the units.
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| Synonyms |
ANN model
artifical neural network model
connectionist network
formal neural network model
connectionism
neoconnectionism
neural network model
parallel distributed processing
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| Type | http://www.w3.org/2004/02/skos/core#Concept |
All Properties
| definition | A computational model inspired by the functioning of the brain (although some authors challenge the biological reality of connectionist models.) Connectionist models attempt to account for cognitive activities such as memory, perception, language, assuming these are done through networks of elementary information processing units (referred to as artificial neural networks). Thus, a memory in these simulation models is considered to be a particular state of a network and is characterized in particular by the weights of the connections between the units. |
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| altLabel |
ANN model
artifical neural network model
connectionist network
formal neural network model
connectionism
neoconnectionism
neural network model
parallel distributed processing
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| prefLabel | connectionist model
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| exactMatch | |
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| related | |
| hiddenLabel |
formal neural network models
ANN models
connectionist networks
connectionist models
artifical neural network models
neural network models
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| bibliographicCitation | Mermillod, M. (2024). De l’intelligence humaine à l’intelligence artificielle. De Boeck Supérieur.
Murre, J. M. J. (2010). Connectionist models of forgetting. In S. Della Sala (Ed.), Forgetting (pp. 77–99). Psychology Press.
McCullogh, W.S., Pitts, W. (1943). Un calcul logique des idées immanentes dans l'activité nerveuse. In Pélissier, A., Tête, A. (Eds.), (1995). Sciences cognitives : textes fondateurs. PUF.
McClelland, J. L., & Rumelhart, D. E. . (Eds.). (1986). Parallel distributed processing: Explorations in the microstructure of cognition. Volume 2, psychological and biological models. MIT Press.
Rumelhart, D. E., & McClelland, J. L. (Eds.). (1986). Parallel distributed processing. Explorations in the microstructure of cognition. Volumee 1, Foundations. The MIT Press. https://doi.org/10.7551/mitpress/5236.001.0001
Bechtel, W., Abrahamsen, A. (1993). Le connexionnisme et l'esprit. Introduction au traitement parallèle par réseaux. La découverte.
Alexandre, F. (2000). Modèles connexionnistes de la mémoire. Thérapie, 55, 525-532.
Abdi, H. (1994). Les réseaux de neurones. Presses Universitaires de Grenoble.
McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5, 115‑133. https://doi-org/10.1007/BF02478259
Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386–408. https://doi.org/10.1037/h0042519
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| broader | |
| creator | Frank Arnould
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| inScheme | |
| created | December 4, 2017
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| modified | February 3, 2025
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