• 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

感觉适应的幂律:蜘蛛机械感受器神经元兴奋性模型的模拟

The power law of sensory adaptation: simulation by a model of excitability in spider mechanoreceptor neurons.

作者信息

French Andrew S, Torkkeli Päivi H

机构信息

Department of Physiology and Biophysics, Dalhousie University, Halifax, NS, Canada.

出版信息

Ann Biomed Eng. 2008 Jan;36(1):153-61. doi: 10.1007/s10439-007-9392-9. Epub 2007 Oct 19.

DOI:10.1007/s10439-007-9392-9
PMID:17952602
Abstract

The power law of sensory adaptation was introduced more than 50 years ago. It is characterized by action potential adaptation that follows fractional powers of time or frequency, rather than exponential decays and corresponding frequency responses. Power law adaptation describes the responses of a range of vertebrate and invertebrate sensory receptors to deterministic stimuli, such as steps or sinusoids, and to random (white noise) stimulation. Hypotheses about the physical basis of power law adaptation have existed since its discovery. Its cause remains enigmatic, but the site of power law adaptation has been located in the conversion of receptor potentials into action potentials in some preparations. Here, we used pseudorandom noise stimulation and direct spectral estimation to show that simulations containing only two voltage activated currents can reproduce the power law adaptation in two types of spider mechanoreceptors. Identical simulations were previously used to explain the different responses of these two types of sensory neurons to step inputs. We conclude that power law adaptation results during action potential encoding by nonlinear combination of a small number of activation and inactivation processes with different exponential time constants.

摘要

感觉适应的幂律在五十多年前就被提出了。其特点是动作电位适应遵循时间或频率的分数幂,而不是指数衰减和相应的频率响应。幂律适应描述了一系列脊椎动物和无脊椎动物感觉受体对确定性刺激(如阶跃或正弦波)以及随机(白噪声)刺激的反应。自幂律适应被发现以来,关于其物理基础的假说就一直存在。其原因仍然不明,但在一些标本中,幂律适应的位点已被定位在受体电位向动作电位的转换过程中。在这里,我们使用伪随机噪声刺激和直接频谱估计来表明,仅包含两种电压激活电流的模拟可以重现两种类型蜘蛛机械感受器中的幂律适应。相同的模拟先前被用于解释这两种类型的感觉神经元对阶跃输入的不同反应。我们得出结论,幂律适应是在动作电位编码过程中,由少数具有不同指数时间常数的激活和失活过程的非线性组合产生的。

相似文献

1
The power law of sensory adaptation: simulation by a model of excitability in spider mechanoreceptor neurons.感觉适应的幂律:蜘蛛机械感受器神经元兴奋性模型的模拟
Ann Biomed Eng. 2008 Jan;36(1):153-61. doi: 10.1007/s10439-007-9392-9. Epub 2007 Oct 19.
2
Transduction and adaptation in spider slit sense organ mechanoreceptors.蜘蛛狭缝感觉器官机械感受器中的转导与适应
J Neurophysiol. 1995 Dec;74(6):2513-23. doi: 10.1152/jn.1995.74.6.2513.
3
Slow adaptation in spider mechanoreceptor neurons.蜘蛛机械感受器神经元中的慢适应性
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2005 May;191(5):403-11. doi: 10.1007/s00359-004-0597-1. Epub 2005 Mar 5.
4
Frequency response functions and information capacities of paired spider mechanoreceptor neurons.成对蜘蛛机械感受器神经元的频率响应函数和信息容量。
Biol Cybern. 2001 Oct;85(4):293-300. doi: 10.1007/s004220100260.
5
Nonlinearization: naturalistic stimulation and nonlinear dynamic behavior in a spider mechanoreceptor.非线性化:蜘蛛机械感受器中的自然主义刺激与非线性动态行为
Biol Cybern. 2018 Oct;112(5):403-413. doi: 10.1007/s00422-018-0763-0. Epub 2018 Jun 18.
6
Activation of GABAA receptors modulates all stages of mechanoreception in spider mechanosensory neurons.GABAA 受体的激活调节蜘蛛机械感觉神经元机械感受的所有阶段。
J Neurophysiol. 2012 Jan;107(1):196-204. doi: 10.1152/jn.00717.2011. Epub 2011 Sep 28.
7
Feedback modulation of transduction by calcium in a spider mechanoreceptor.钙离子对蜘蛛机械感受器转导的反馈调节。
Eur J Neurosci. 2010 Nov;32(9):1473-9. doi: 10.1111/j.1460-9568.2010.07407.x. Epub 2010 Oct 7.
8
From stress and strain to spikes: mechanotransduction in spider slit sensilla.从应力应变到电脉冲:蜘蛛缝感觉器中的机械转导
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2002 Nov;188(10):739-52. doi: 10.1007/s00359-002-0363-1. Epub 2002 Oct 31.
9
Dendritic excitability and localization of GABA-mediated inhibition in spider mechanoreceptor neurons.蜘蛛机械感受器神经元中树突兴奋性及GABA介导的抑制作用的定位
Eur J Neurosci. 2004 Jul;20(1):59-65. doi: 10.1111/j.0953-816X.2004.03454.x.
10
Principal dynamic mode analysis of action potential firing in a spider mechanoreceptor.蜘蛛机械感受器动作电位发放的主要动态模式分析
Biol Cybern. 2007 Jan;96(1):113-27. doi: 10.1007/s00422-006-0108-2. Epub 2006 Oct 5.

引用本文的文献

1
Characterization of the encoding properties of intraspinal mechanosensory neurons in the lamprey.七鳃鳗脊髓内机械感觉神经元编码特性的表征
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2017 Oct;203(10):831-841. doi: 10.1007/s00359-017-1196-2. Epub 2017 Jul 12.
2
Contrast coding in the electrosensory system: parallels with visual computation.电感受系统中的对比编码:与视觉计算的平行关系。
Nat Rev Neurosci. 2015 Dec;16(12):733-44. doi: 10.1038/nrn4037. Epub 2015 Nov 12.
3
Neuronal spike timing adaptation described with a fractional leaky integrate-and-fire model.
用分数阶漏电积分发放模型描述的神经元放电时间适应。
PLoS Comput Biol. 2014 Mar 27;10(3):e1003526. doi: 10.1371/journal.pcbi.1003526. eCollection 2014 Mar.
4
Speed-invariant encoding of looming object distance requires power law spike rate adaptation.速度不变的逼近物体距离编码需要幂律尖峰发放率适应。
Proc Natl Acad Sci U S A. 2013 Aug 13;110(33):13624-9. doi: 10.1073/pnas.1306428110. Epub 2013 Jul 29.
5
Exploring the fundamental dynamics of error-based motor learning using a stationary predictive-saccade task.使用固定预测性眼球追踪任务探索基于错误的运动学习的基本动力学。
PLoS One. 2011;6(9):e25225. doi: 10.1371/journal.pone.0025225. Epub 2011 Sep 23.
6
Fractals in the nervous system: conceptual implications for theoretical neuroscience.神经系统中的分形:对理论神经科学的概念启示。
Front Physiol. 2010 Jul 6;1:15. doi: 10.3389/fphys.2010.00015. eCollection 2010.
7
Dynamics of excitability over extended timescales in cultured cortical neurons.培养皮层神经元在长时间尺度上的兴奋动力学。
J Neurosci. 2010 Dec 1;30(48):16332-42. doi: 10.1523/JNEUROSCI.4859-10.2010.
8
Skin relaxation predicts neural firing rate adaptation in SAI touch receptors.皮肤松弛可预测慢速适应性皮肤机械感受器中的神经放电率适应性。
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6678-81. doi: 10.1109/IEMBS.2010.5626264.
9
Power-law dynamics in an auditory-nerve model can account for neural adaptation to sound-level statistics.幂律动力学在听觉神经模型中可以解释神经对声音水平统计数据的适应。
J Neurosci. 2010 Aug 4;30(31):10380-90. doi: 10.1523/JNEUROSCI.0647-10.2010.
10
Multiple timescale encoding of slowly varying whisker stimulus envelope in cortical and thalamic neurons in vivo.体内皮层和丘脑神经元对缓慢变化的触须刺激包络进行多时间尺度编码。
J Neurosci. 2010 Apr 7;30(14):5071-7. doi: 10.1523/JNEUROSCI.2193-09.2010.