Adaptation of Multi-Faceted Psycholinguistic Models for Research in Neuroscience

Author:

Pishchalnikova V. A.1,Kardanova-Biryukova K. S.2

Affiliation:

1. Moscow State Linguistic University

2. Moscow City Pedagogical University

Abstract

This article focuses on the methodological framework of modern anthropocentric linguistics, an emerging interdisciplinary field of research. With new interdisciplinary research objects that cannot be analyzed within a single discipline or paradigm, it is important to adopt a research logic based on interdisciplinary cognitive attitudes and adapt the established scientific concepts accordingly. Here, we review the main interdisciplinary research objects, such as communication and language ability, and explain how they can be parameterized. Communication, as an adaptive behavior of a social human, can be explored through the interpretive categories of autopoiesis theory to build a model of a communicant for further experimental verification. Language ability can be effectively studied with the help of experimental research tools that analyze speech in emotionally stressful situations and identify patterns in the verbalization of emotions. These experimental data can be obtained by an association experiment, in which the associative field is understood as a constitutive element of the association-verbal network segment defining the rules of knowledge processing. The research tools and objects discussed in this article can be useful in medical practice, particularly in the diagnosis of speech disorders by detecting the stages of speech production and comprehension in which the deviations occur. Research problems that require further investigation include the development of models explaining the instability of word meaning, the formulation of universal psycholinguistic principles of sense production, and the discovery of a correlation between sense production and somatic processes.

Publisher

Kazan Federal University

Subject

General Medicine

Reference34 articles.

1. Kuhn T. Struktura nauchnykh revolyutsii [The Structure of Scientific Revolutions]. Moscow, AST, 2003. 605 p. (In Russian)

2. Arshinov V.I., Budanov V.G. Synergy of understanding the complexity. In: Sinergetika i psikhologiya [Synergetics and Psychology]. Moscow, Kogito-Tsentr, 2004, pp. 82–127. (In Russian)

3. Krasnykh V.V. Modern research paradigm – new branches of science about Homo loquens. Actographe, 2017, vol. 1, no. 1, pp. 107–140. (In Russian)

4. Pishchalnikova V.A., Sonin A.G. Obshchee yazykoznanie [General Linguistics]. Moscow, R. Valent, 2017. 480 p. (In Russian)

5. Leont’ev A.N. Deyatel’nost’. Soznanie. Lichnost’ [Activity. Consciousness. Personality]. Moscow, Polit. Lit., 1975. 304 p. (In Russian)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3