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Language, Cognition and Neuroscience Volume 38, 2023 - Issue 4: Special Issue: Emergence of speech and language from prediction error: Error-driven language models
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Representing absence of evidence: why algorithms and representations matter in models of language and cognition

Franziska Brökera Department for Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany;b Gatsby Computational Neuroscience Unit, University College London, London, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6707-984XView further author information
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Michael Ramscarc Quantitative Linguistics, University of Tübingen, Tübingen, GermanyORCID Iconhttps://orcid.org/0000-0003-1680-1112View further author information
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Pages 597-620 | Received 01 Jun 2020, Accepted 24 Nov 2020, Published online: 24 Dec 2020

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Jessie S. Nixon & Fabian Tomaschek. (2023) Introduction to the special issue emergence of speech and language from prediction error: error-driven language models. Language, Cognition and Neuroscience 38:4, pages 411-418.
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Michael Ramscar. (2023) A discriminative account of the learning, representation and processing of inflection systems. Language, Cognition and Neuroscience 38:4, pages 446-470.
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Amy Smolek & Vsevolod Kapatsinski. (2023) Syntagmatic paradigms: learning correspondence from contiguity. Morphology 33:3, pages 287-334.
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Fabian Tomaschek & Michael Ramscar. (2022) Understanding the Phonetic Characteristics of Speech Under Uncertainty—Implications of the Representation of Linguistic Knowledge in Learning and Processing. Frontiers in Psychology 13.
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Dorothée B. Hoppe, Petra Hendriks, Michael Ramscar & Jacolien van Rij. (2022) An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective. Behavior Research Methods 54:5, pages 2221-2251.
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Michael RAMSCAR. (2021) How children learn to communicate discriminatively. Journal of Child Language 48:5, pages 984-1022.
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Jessie S. Nixon & Fabian Tomaschek. (2021) Prediction and error in early infant speech learning: A speech acquisition model. Cognition 212, pages 104697.
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