反射神经回路与语言和音乐代码的起源。

IF 2 4区 生物学 Q2 BIOLOGY
Abir U. Igamberdiev
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引用次数: 0

摘要

意识活动以感官知觉中的反射性自我意识为基础,通过感官知觉事件的代码运作和约束人类行为。这些代码通过创造性地生成超文本语句而发展。我们运用弗拉基米尔-勒菲弗(Vladimir Lefebvre, V.A.,1987 年,《社会生物结构》杂志,10, 129-175)的模型来揭示语言和音乐代码的感知和创造性发展所基于的基本结构。根据这一模型,有意识主体的反射结构建立在三个热力学循环的基础上,通过第二个循环对基本功能循环的控制而结合在一起,并产生内部动作,而这一动作又被评估这一动作的第三个循环所感知。在这种安排下,生成语言结构得以形成,构成乐句和模式的声音频率得以选择。我们讨论了某些大脑神经结构的参与以及反射神经回路在感知信号临时转换过程中的建立,并展示了感知过程与生物自我维护和形态发生过程之间的相似之处。我们追溯了音乐和音乐创作中情感时间编码的特殊性,以及表演者和感知者之间共享音乐信息的原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reflexive neural circuits and the origin of language and music codes
Conscious activity is grounded in the reflexive self-awareness in sense perception, through which the codes signifying sensual perceptive events operate and constrain human behavior. These codes grow via the creative generation of hypertextual statements. We apply the model of Vladimir Lefebvre (Lefebvre, V.A., 1987, J. Soc. Biol. Struct. 10, 129–175) to reveal the underlying structures on which the perception and creative development of language and music codes are based. According to this model, the reflexive structure of conscious subject is grounded in three thermodynamic cycles united by the control of the basic functional cycle by the second one, and resulting in the internal action that it turn is perceived by the third cycle evaluating this action. In this arrangement, the generative language structures are formed and the frequencies of sounds that form musical phrases and patterns are selected. We discuss the participation of certain neural brain structures and the establishment of reflexive neural circuits in the ad hoc transformation of perceptive signals, and show the similarities between the processes of perception and of biological self-maintenance and morphogenesis. We trace the peculiarities of the temporal encoding of emotions in music and musical creativity, as well as the principles of sharing musical information between the performing and the perceiving individuals.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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