• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

大脑拥有躯体:适应性行为源自神经系统、躯体与环境的相互作用。

The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment.

作者信息

Chiel H J, Beer R D

机构信息

Dept of Biology, Case Western Reserve University, Cleveland, OH 44106-7080, USA.

出版信息

Trends Neurosci. 1997 Dec;20(12):553-7. doi: 10.1016/s0166-2236(97)01149-1.

DOI:10.1016/s0166-2236(97)01149-1
PMID:9416664
Abstract

Studies of mechanisms of adaptive behavior generally focus on neurons and circuits. But adaptive behavior also depends on interactions among the nervous system, body and environment: sensory preprocessing and motor post-processing filter inputs to and outputs from the nervous system; co-evolution and co-development of nervous system and periphery create matching and complementarity between them; body structure creates constraints and opportunities for neural control; and continuous feedback between nervous system, body and environment are essential for normal behavior. This broader view of adaptive behavior has been a major underpinning of ecological psychology and has influenced behavior-based robotics. Computational neuroethology, which jointly models neural control and periphery of animals, is a promising methodology for understanding adaptive behavior.

摘要

对适应性行为机制的研究通常聚焦于神经元和神经回路。但适应性行为还取决于神经系统、身体和环境之间的相互作用:感觉预处理和运动后处理对神经系统的输入和输出进行过滤;神经系统与外周的共同进化和共同发育使它们之间形成匹配和互补;身体结构为神经控制带来限制和机遇;神经系统、身体和环境之间的持续反馈对正常行为至关重要。这种对适应性行为更广泛的观点一直是生态心理学的主要支撑,并影响了基于行为的机器人技术。计算神经行为学将动物的神经控制和外周共同建模,是理解适应性行为的一种很有前景的方法。

相似文献

1
The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment.大脑拥有躯体:适应性行为源自神经系统、躯体与环境的相互作用。
Trends Neurosci. 1997 Dec;20(12):553-7. doi: 10.1016/s0166-2236(97)01149-1.
2
Complex Adaptive Behavior and Dexterous Action.复杂适应性行为与灵巧动作。
Nonlinear Dynamics Psychol Life Sci. 2015 Oct;19(4):345-94.
3
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback.一种关于主动行为如何稳定神经活动的理论:闭环环境反馈的神经增益调制。
PLoS Comput Biol. 2018 Jan 17;14(1):e1005926. doi: 10.1371/journal.pcbi.1005926. eCollection 2018 Jan.
4
Predicting adaptive behavior in the environment from central nervous system dynamics.从中枢神经系统动力学预测环境中的适应性行为。
PLoS One. 2008;3(11):e3678. doi: 10.1371/journal.pone.0003678. Epub 2008 Nov 7.
5
Modeling neuromuscular modulation in Aplysia. III. Interaction of central motor commands and peripheral modulatory state for optimal behavior.对海兔神经肌肉调制的建模。III. 中枢运动指令与外周调制状态的相互作用以实现最优行为。
J Neurophysiol. 2005 Mar;93(3):1523-56. doi: 10.1152/jn.00475.2004. Epub 2004 Oct 6.
6
Neuroecology: Neural Mechanisms of Sensory and Motor Processes that Mediate Ecologically Relevant Behaviors: An Introduction to the Symposium.神经生态学:介导与生态相关行为的感觉和运动过程的神经机制:研讨会介绍
Integr Comp Biol. 2016 Nov;56(5):853-855. doi: 10.1093/icb/icw109.
7
An embodied view of octopus neurobiology.章鱼神经生物学的具身观点。
Curr Biol. 2012 Oct 23;22(20):R887-92. doi: 10.1016/j.cub.2012.09.001.
8
An overview of adaptive model theory: solving the problems of redundancy, resources, and nonlinear interactions in human movement control.自适应模型理论概述:解决人类运动控制中的冗余、资源和非线性相互作用问题。
J Neural Eng. 2005 Sep;2(3):S279-312. doi: 10.1088/1741-2560/2/3/S10. Epub 2005 Aug 31.
9
Neurophysiology of performance monitoring and adaptive behavior.表现监测和自适应行为的神经生理学。
Physiol Rev. 2014 Jan;94(1):35-79. doi: 10.1152/physrev.00041.2012.
10
Beyond control: the dynamics of brain-body-environment interaction in motor systems.超越控制:运动系统中脑-体-环境相互作用的动力学
Adv Exp Med Biol. 2009;629:7-24. doi: 10.1007/978-0-387-77064-2_2.

引用本文的文献

1
System-level brain modeling.系统级脑建模。
Front Comput Neurosci. 2025 Jul 16;19:1607239. doi: 10.3389/fncom.2025.1607239. eCollection 2025.
2
A multimodal biomechanical and eye-tracking dataset of suprapostural coordination in healthy young adults.健康年轻成年人超姿势协调的多模态生物力学和眼动追踪数据集。
Sci Data. 2025 Jul 29;12(1):1311. doi: 10.1038/s41597-025-05642-0.
3
Incorporating buccal mass planar mechanics and anatomical features improves neuromechanical modeling of Aplysia feeding behavior.结合口腔团块平面力学和解剖学特征可改善海兔进食行为的神经力学建模。
Biol Cybern. 2025 Jul 7;119(4-6):17. doi: 10.1007/s00422-025-01017-1.
4
Attention and spatial navigation in everyday life: Physical activity is associated with subjective aspects of cognitive function.日常生活中的注意力与空间导航:身体活动与认知功能的主观方面相关。
PLoS One. 2025 Apr 16;20(4):e0321062. doi: 10.1371/journal.pone.0321062. eCollection 2025.
5
The human brainstem's red nucleus was upgraded to support goal-directed action.人类脑干的红核得到升级,以支持目标导向行动。
Nat Commun. 2025 Apr 10;16(1):3398. doi: 10.1038/s41467-025-58172-z.
6
Single-nucleus and spatial transcriptomics identify brain landscape of gene regulatory networks associated with behavioral maturation in honeybees.单核和空间转录组学揭示了与蜜蜂行为成熟相关的基因调控网络的脑图谱。
Nat Commun. 2025 Apr 8;16(1):3343. doi: 10.1038/s41467-025-58614-8.
7
Design considerations for optogenetic applications of soft micro-LED-based device systems across diverse nervous systems.基于软微型发光二极管的器件系统在不同神经系统中的光遗传学应用的设计考量
Bioact Mater. 2025 Feb 19;48:217-241. doi: 10.1016/j.bioactmat.2025.02.006. eCollection 2025 Jun.
8
Tradeoffs in the energetic value of neuromodulation in a closed-loop neuromechanical system.闭环神经机械系统中神经调节能量值的权衡。
J Theor Biol. 2025 May 7;604:112050. doi: 10.1016/j.jtbi.2025.112050. Epub 2025 Jan 30.
9
I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.I2Bot:一种用于昆虫导航多模态与具身模拟的开源工具。
J R Soc Interface. 2025 Jan;22(222):20240586. doi: 10.1098/rsif.2024.0586. Epub 2025 Jan 22.
10
Nanotechnological approaches for efficient N2B delivery: from small-molecule drugs to biopharmaceuticals.高效N2B递送的纳米技术方法:从小分子药物到生物制药。
Beilstein J Nanotechnol. 2024 Nov 12;15:1400-1414. doi: 10.3762/bjnano.15.113. eCollection 2024.