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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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Learning fast while avoiding spurious excitement and overcoming cue competition requires setting unachievable goals: reasons for using the logistic activation function in learning to predict categorical outcomes

Vsevolod KapatsinskiDepartment of Linguistics, University of Oregon, Eugene, OR, USACorrespondence[email protected]
Pages 575-596 | Received 04 Jun 2020, Accepted 26 Apr 2021, Published online: 17 May 2021

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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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Armando Q. Angulo-Chavira, Alejandra M. Castellón-Flores, Julia B. Barrón-Martínez & Natalia Arias-Trejo. (2022) Word prediction using closely and moderately related verbs in Down syndrome. Frontiers in Psychology 13.
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Xueliang Wang, Honge Ren & Achuan Wang. (2022) Smish: A Novel Activation Function for Deep Learning Methods. Electronics 11:4, pages 540.
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