Recent decades have ushered in tremendous progress in understanding the neural basis of language. Most of our current knowledge on language and the brain, however, is derived from lab-based experiments that are far removed from everyday language use, and that are inspired by questions originating in linguistic and psycholinguistic contexts. In this paper we argue that in order to make progress, the field needs to shift its focus to understanding the neurobiology of naturalistic language comprehension. We present here a new conceptual framework for understanding the neurobiological organization of language comprehension. This framework is non-language-centered in the computational/neurobiological constructs it identifies, and focuses strongly on context. Our core arguments address three general issues: (i) the difficulty in extending language-centric explanations to discourse; (ii) the necessity of taking context as a serious topic of study, modeling it formally and acknowledging the limitations on external validity when studying language comprehension outside context; and (iii) the tenuous status of the language network as an explanatory construct. We argue that adopting this framework means that neurobiological studies of language will be less focused on identifying correlations between brain activity patterns and mechanisms postulated by psycholinguistic theories. Instead, they will be less self-referential and increasingly more inclined towards integration of language with other cognitive systems, ultimately doing more justice to the neurobiological organization of language and how it supports language as it is used in everyday life.

Grounding the neurobiology of language in first principles: the necessity of non-language-centric explanations for language comprehension / Hasson, Uri; Egidi, Giovanna; Marelli, M.; Willems, Roel M.. - In: COGNITION. - ISSN 0010-0277. - 180:(2018), pp. 135-157. [10.1016/j.cognition.2018.06.018]

Grounding the neurobiology of language in first principles: the necessity of non-language-centric explanations for language comprehension

Hasson, Uri;Egidi, Giovanna;Marelli, M.;
2018-01-01

Abstract

Recent decades have ushered in tremendous progress in understanding the neural basis of language. Most of our current knowledge on language and the brain, however, is derived from lab-based experiments that are far removed from everyday language use, and that are inspired by questions originating in linguistic and psycholinguistic contexts. In this paper we argue that in order to make progress, the field needs to shift its focus to understanding the neurobiology of naturalistic language comprehension. We present here a new conceptual framework for understanding the neurobiological organization of language comprehension. This framework is non-language-centered in the computational/neurobiological constructs it identifies, and focuses strongly on context. Our core arguments address three general issues: (i) the difficulty in extending language-centric explanations to discourse; (ii) the necessity of taking context as a serious topic of study, modeling it formally and acknowledging the limitations on external validity when studying language comprehension outside context; and (iii) the tenuous status of the language network as an explanatory construct. We argue that adopting this framework means that neurobiological studies of language will be less focused on identifying correlations between brain activity patterns and mechanisms postulated by psycholinguistic theories. Instead, they will be less self-referential and increasingly more inclined towards integration of language with other cognitive systems, ultimately doing more justice to the neurobiological organization of language and how it supports language as it is used in everyday life.
2018
Hasson, Uri; Egidi, Giovanna; Marelli, M.; Willems, Roel M.
Grounding the neurobiology of language in first principles: the necessity of non-language-centric explanations for language comprehension / Hasson, Uri; Egidi, Giovanna; Marelli, M.; Willems, Roel M.. - In: COGNITION. - ISSN 0010-0277. - 180:(2018), pp. 135-157. [10.1016/j.cognition.2018.06.018]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/211201
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