首页> 外文会议>Unsolved Problems of Noise and Fluctuations >Spatiotemp oral Stochastic Resonance and Its Consequences in a Neural System
【24h】

Spatiotemp oral Stochastic Resonance and Its Consequences in a Neural System

机译:时空口腔随机共振及其在神经系统中的后果

获取原文

摘要

Biological neurons are good examples of a threshold device - this is why neural systems are in the focus when looking for realization of Stochastic Resonance (SR) and Spatiotemporal Stochastic Resonance (STSR) phenomena. There are two different ways to simulate neural systems - one based on differential equations, the other based on a simple threshold model. In this talk the effect of noise on neural systems will be discussed using both ways of modelling. The results so far suggest that SR. and STSR do occur in models of neural systems. However, how significant is the role played by these phenomena and what implications might they have on neurobiology is still a question.
机译:生物神经元是阈值设备的一个很好的例子-这就是为什么在寻找实现随机共振(SR)和时空随机共振(STSR)现象时神经系统成为焦点的原因。有两种不同的模拟神经系统的方法-一种基于微分方程,另一种基于简单的阈值模型。在本次演讲中,将使用两种建模方法来讨论噪声对神经系统的影响。到目前为止的结果表明SR。和STSR确实发生在神经系统模型中。然而,这些现象所起的作用到底有多重要,以及它们对神经生物学的潜在影响仍是一个问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号