• 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

电化学非周期脉冲序列的随机共振

Stochastic resonance of electrochemical aperiodic spike trains.

作者信息

Parmananda P, Escalera Santos Gerardo J, Rivera M, Showalter Kenneth

机构信息

Facultad de Ciencias, UAEM, Colonia Chamilpa, Cuernavaca, Morelos, Mexico.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Mar;71(3 Pt 1):031110. doi: 10.1103/PhysRevE.71.031110. Epub 2005 Mar 23.

DOI:10.1103/PhysRevE.71.031110
PMID:15903409
Abstract

Aperiodic stochastic resonance in an electrochemical system with excitable dynamics is characterized in experiments and simulations. Two different spike trains, one with stochastic and the other with chaotic interspike intervals, are imposed on the system as subthreshold aperiodic signals. Information transmission is quantified by the cross correlation between the subthreshold input signal and the noise induced system response. A maximum is exhibited in the input-output correlation as a function of the noise amplitude. Numerical simulations with an electrochemical model are in excellent agreement with the experimental observations.

摘要

在具有可激发动力学的电化学系统中,对非周期随机共振进行了实验和模拟表征。将两种不同的脉冲序列(一种具有随机的,另一种具有混沌的脉冲间隔)作为阈下非周期信号施加于该系统。通过阈下输入信号与噪声诱导的系统响应之间的互相关来量化信息传输。输入-输出相关性随噪声幅度呈现出最大值。使用电化学模型进行的数值模拟与实验观测结果高度吻合。

相似文献

1
Stochastic resonance of electrochemical aperiodic spike trains.电化学非周期脉冲序列的随机共振
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Mar;71(3 Pt 1):031110. doi: 10.1103/PhysRevE.71.031110. Epub 2005 Mar 23.
2
Electrochemical bursting oscillations on a high-dimensional slow subsystem.高维慢子系统上的电化学爆发振荡
Phys Chem Chem Phys. 2006 Jun 21;8(23):2707-15. doi: 10.1039/b602955h. Epub 2006 Apr 28.
3
Temperature-driven coherence resonance and stochastic resonance in a thermochemical system.热化学系统中温度驱动的相干共振和随机共振。
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Feb;89(2):022916. doi: 10.1103/PhysRevE.89.022916. Epub 2014 Feb 18.
4
Residual aperiodic stochastic resonance in a bistable dynamic system transmitting a suprathreshold binary signal.在传输超阈值二进制信号的双稳动态系统中的残余非周期随机共振。
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Jan;69(1 Pt 1):011109. doi: 10.1103/PhysRevE.69.011109. Epub 2004 Jan 30.
5
Entropic stochastic resonance enables trapping under periodic confinement: a Brownian-dynamics study.熵随机共振实现周期性约束下的捕获:一项布朗动力学研究。
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jan;89(1):012138. doi: 10.1103/PhysRevE.89.012138. Epub 2014 Jan 23.
6
Global dynamics and stochastic resonance of the forced FitzHugh-Nagumo neuron model.强迫FitzHugh-Nagumo神经元模型的全局动力学与随机共振
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Mar;63(3 Pt 1):031906. doi: 10.1103/PhysRevE.63.031906. Epub 2001 Feb 26.
7
Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.在整合-发放模型中纳入长程相关性以解释皮层神经元高脉冲间隔变异性的问题。
Neural Comput. 2004 Oct;16(10):2125-95. doi: 10.1162/0899766041732413.
8
Intrinsic periodic and aperiodic stochastic resonance in an electrochemical cell.电化学电池中的本征周期和非周期随机共振。
Phys Rev E. 2016 Aug;94(2-1):022210. doi: 10.1103/PhysRevE.94.022210. Epub 2016 Aug 12.
9
Control, synchronization, and replicability of aperiodic spike trains.非周期性脉冲序列的控制、同步和可复制性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May;75(5 Pt 2):055202. doi: 10.1103/PhysRevE.75.055202. Epub 2007 May 2.
10
Noise-enhanced information transmission in rat SA1 cutaneous mechanoreceptors via aperiodic stochastic resonance.通过非周期性随机共振增强大鼠SA1皮肤机械感受器中的信息传递
J Neurophysiol. 1996 Jul;76(1):642-5. doi: 10.1152/jn.1996.76.1.642.

引用本文的文献

1
Stochastic Resonance Based Visual Perception Using Spiking Neural Networks.基于随机共振的脉冲神经网络视觉感知
Front Comput Neurosci. 2020 May 15;14:24. doi: 10.3389/fncom.2020.00024. eCollection 2020.