Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences
It has been proposed that there is a relation between the capacity to acquire language and equivalence relations. Previous studies show that members of an equivalence class transfer combinatorial properties within an artificial grammar. Reciprocally, in the present work we analyzed whether, after tr...
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Main Authors: | Tabullo, Ángel; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina, Yorio, Alberto; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina, Zanutto, Silvano; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina, Wainselboim, Alejandro Javier; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina |
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revistas-unc.article-207062019-08-26T13:55:36Z Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences ¿Constituyen los elementos de una categoría combinatoria una clase de equivalencia?: evidencias comportamentales y neurobiológicas Tabullo, Ángel; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina Yorio, Alberto; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Zanutto, Silvano; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Wainselboim, Alejandro Javier; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina artificial grammar, equivalence relations, evoked potentials, function transfer Psicología experimental, neurobiología del lenguaje gramática artificial, relaciones de equivalencia, potenciales evocados, transferencia de funciones It has been proposed that there is a relation between the capacity to acquire language and equivalence relations. Previous studies show that members of an equivalence class transfer combinatorial properties within an artificial grammar. Reciprocally, in the present work we analyzed whether, after training in an artificial grammar, stimuli with the same combinatorial properties verify properties of an equivalence class. Results show that stimuli of a same combinatorial class form a functional class that verifies the properties of equivalence (i.e. reflexivity; symmetry and transitivity). Processing these relations generates an N400 potential that is related to the number of nodal stimuli between stimuli pairs. This result could be explained in terms of a proactive system that extracts and retains statistical regularities of stimuli; connects new stimuli with relevant representations previously acquired and employs these associations to generate predictions of future events Se ha propuesto que la capacidad de adquirir lenguaje y relaciones de equivalencia están vinculadas. Estudios previos muestran que estímulos relacionados por equivalencia transfieren propiedades combinatorias en una gramática artificial. Recíprocamente, en el presente trabajo analizamos si estímulos que comparten las mismas propiedades combinatorias por entrenamiento en una gramática artificial verifican posteriormente las propiedades de una clase de equivalencia. Los resultados muestran que los estímulos de una misma clase combinatoria conforman una clase funcional que verifica las propiedades de la equivalencia (i.e. reflexividad, simetría y transitividad). El procesamiento de estas relaciones genera un potencial N400 que refleja un costo de procesamiento vinculado al número de estímulos nodales intervinientes. Este resultado podría explicarse en términos de un sistema proactivo que extrae y almacena regularidades estadísticas de los estímulos; conecta estímulos nuevos con las representaciones relevantes previamente adquiridas y utiliza estas asociaciones para generar predicciones sobre los eventos futuros Universidad Nacional de Córdoba Conicet 2019-08-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/racc/article/view/20706 10.32348/1852.4206.v11.n2.20706 Argentinean Journal of Behavioral Sciences; Vol. 11, Núm. 2 (2019): REVISTA ARGENTINA DE CIENCIAS DEL COMPORTAMIENTO; 23-35 Revista Argentina de Ciencias del Comportamiento; Vol. 11, Núm. 2 (2019): REVISTA ARGENTINA DE CIENCIAS DEL COMPORTAMIENTO; 23-35 1852-4206 10.32348/1852.4206.v11.n2 spa https://revistas.unc.edu.ar/index.php/racc/article/view/20706/pdf https://revistas.unc.edu.ar/index.php/racc/article/downloadSuppFile/20706/6171 https://revistas.unc.edu.ar/index.php/racc/article/downloadSuppFile/20706/6172 https://revistas.unc.edu.ar/index.php/racc/article/downloadSuppFile/20706/6173 /*ref*/Arismendi, A., Tabullo, A., Vernis, S., Primero, G., Fiorentini, L., Sánchez, F., & Yorio, A. 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T., Roche, B., & James, J. E. (2004). The relation between stimulus function and equivalence class formation. Journal of the Experimental Analysis of Behavior, 81(3), 257–266. doi: 10.1901/jeab.2004.81-257 /*ref*/Wirth, O., & Chase, P. N. (2002). Stability of functional equivalence and stimulus equivalence: Effects of baseline reversals. Journal of the Experimental Analysis of Behavior, 77(1), 29-47. doi: 10.1901/jeab.2002.77-29 /*ref*/Zentall, T. R. (1998). Symbolic representation in animals: Emergent stimulus relations in conditional discrimination learning. Animal Learning and Behavior,26(4), 363–377. doi: 10.3758/BF03199229 Copyright (c) 2019 Ángel Tabullo, Alberto Yorio, Silvano Zanutto, Alejandro Javier Wainselboim http://creativecommons.org/licenses/by/4.0 |
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Tabullo, Ángel; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina Yorio, Alberto; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Zanutto, Silvano; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Wainselboim, Alejandro Javier; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina |
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Tabullo, Ángel; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina Yorio, Alberto; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Zanutto, Silvano; Instituto de Biología y Medicina Experimental (IBYME), Buenos Aires, Argentina Wainselboim, Alejandro Javier; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
author_sort |
Tabullo, Ángel; Instituto de Ciencias Humanas, Sociales y Ambientales (INCIHUSA), Centro Científico Tecnológico (CCT), CONICET, Mendoza, Argentina |
title |
Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
title_short |
Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
title_full |
Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
title_fullStr |
Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
title_full_unstemmed |
Do the elements of a combinatorial category constitute an equivalence class? Behavioral and neurobiological evidences |
title_sort |
do the elements of a combinatorial category constitute an equivalence class? behavioral and neurobiological evidences |
description |
It has been proposed that there is a relation between the capacity to acquire language and equivalence relations. Previous studies show that members of an equivalence class transfer combinatorial properties within an artificial grammar. Reciprocally, in the present work we analyzed whether, after training in an artificial grammar, stimuli with the same combinatorial properties verify properties of an equivalence class. Results show that stimuli of a same combinatorial class form a functional class that verifies the properties of equivalence (i.e. reflexivity; symmetry and transitivity). Processing these relations generates an N400 potential that is related to the number of nodal stimuli between stimuli pairs. This result could be explained in terms of a proactive system that extracts and retains statistical regularities of stimuli; connects new stimuli with relevant representations previously acquired and employs these associations to generate predictions of future events |
publisher |
Universidad Nacional de Córdoba |
publishDate |
2019 |
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https://revistas.unc.edu.ar/index.php/racc/article/view/20706 |
_version_ |
1643241861488312320 |
score |
13.593876 |