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Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning
Cognition 132 (1):68-89 (2014)
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Citations of this work
A Neurocomputational Model of the N400 and the P600 in Language Processing.Harm Brouwer, Matthew W. Crocker, Noortje J. Venhuizen & John C. J. Hoeks - 2017 - Cognitive Science 41 (S6):1318-1352.
Toward a Neurobiologically Plausible Model of Language-Related, Negative Event-Related Potentials.Ina Bornkessel-Schlesewsky & Matthias Schlesewsky - 2019 - Frontiers in Psychology 10.
Language production is facilitated by semantic richness but inhibited by semantic density: Evidence from picture naming.Milena Rabovsky, Daniel J. Schad & Rasha Abdel Rahman - 2016 - Cognition 146 (C):240-244.
Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension.Samuel J. Cheyette & David C. Plaut - 2017 - Cognition 162 (C):153-166.
A predictive coding model of the N400.Samer Nour Eddine, Trevor Brothers, Lin Wang, Michael Spratling & Gina R. Kuperberg - 2024 - Cognition 246 (C):105755.
References found in this work
Whatever next? Predictive brains, situated agents, and the future of cognitive science.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):181-204.
A distributed, developmental model of word recognition and naming.Mark S. Seidenberg & James L. McClelland - 1989 - Psychological Review 96 (4):523-568.
The free-energy principle: a rough guide to the brain?Karl Friston - 2009 - Trends in Cognitive Sciences 13 (7):293-301.
Understanding normal and impaired word reading: Computational principles in quasi-regular domains.David C. Plaut, James L. McClelland, Mark S. Seidenberg & Karalyn Patterson - 1996 - Psychological Review 103 (1):56-115.
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