From integrative biology to the nerve impulse: Rethinking neural information and semiotics in functional systems perspective

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Andres Kurismaa
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引用次数: 0

Abstract

Received concepts of neural activity, building on the technical concepts of information processing and coding, do not formulate the problems that an organism must formulate in order to cope with its environment. Specifically, this includes the problems of self-maintenance and adaptation, and how such activities are to be monitored and corrected in case of their (anticipated) deviation from viable norms. In this paper, it is shown how the functional systems theory of P. K. Anokhin formulated key notions of adaptive control, self-monitoring, and self-detectable (“system-detectable”) error that directly anticipate current debates on neural information and representation, and allow to reframe these debates in new empirical and theoretical perspectives. In addition to showing this on the basis of early (less known and untranslated) works, we analyze how functional systems pose new questions for current research. Specifically, recent discoveries in integrative and cellular neuroscience regarding the biophysical limits of signal summation in neural cells directly confirm Anokhin’s analysis of the integrative activities of the neuron. These findings may have wide implications, and call for new and biologically more specific models of the integrative and semiotic closure of nervous activity, in line with the systemic closure of the organismic functions in which they participate.
从综合生物学到神经冲动:从功能系统的角度重新思考神经信息和符号学
公认的神经活动概念建立在信息处理和编码的技术概念之上,并没有形成生物体为了应对环境而必须形成的问题。具体而言,这包括自我维持和适应的问题,以及在这些活动(预期)偏离可行规范的情况下如何监测和纠正这些活动。在本文中,展示了P.K.Anokhin的功能系统理论是如何制定自适应控制、自我监测和自我检测(“系统可检测”)误差的关键概念的,这些概念直接预测了当前关于神经信息和表示的辩论,并允许从新的经验和理论角度重新构建这些辩论。除了在早期(鲜为人知和未翻译)作品的基础上展示这一点外,我们还分析了功能系统如何为当前的研究提出新的问题。具体而言,整合神经科学和细胞神经科学中关于神经细胞中信号总和的生物物理极限的最新发现直接证实了Anokhin对神经元整合活动的分析。这些发现可能具有广泛的意义,并呼吁建立新的、生物学上更具体的神经活动的综合和符号闭合模型,与它们所参与的组织功能的系统闭合相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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