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Design of an electrochemical cognitive system: A study and application of emergent spatio-temporal patterns in far from equilibrium nonlinear systems.

机译:电化学认知系统的设计:远离平衡非线性系统的时空时空模式的研究与应用。

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摘要

This thesis examines a fundamentally new form of information processing, one inspired by the brain and materialized through electrochemistry. The study was concerned with the electrodissolution dynamics of nickel in sulfuric acid electrolyte, where the anodic current responds to three dimensional changes in the electrolyte and surface conditions, giving rise to a multitude of spatio-temporal patterns. We were able to observe distinct changes in the evolution of dynamics with particular perturbation, and relate these patterns as a cognitive response to the inputs provided to the system. The thesis also aimed at clarifying what is meant by information processing by drawing on formalization used in computer science and information theory. By exploring the emerging theoretical field of pattern formation in nonlinear dynamical systems, we have demonstrated how transient dynamics and attractors in physical systems have all the necessary components to realize the formalization of information processing.;Experimental work included studies on identification of control parameters, characterization of subsequent temporal patterns and examination of system response to information in form of oscillatory voltage perturbations. As part of this work, we developed the electronics, data acquisition hardware as well as the software necessary to acquire, control and process the data obtained from the system. Various data processing and pattern recognition techniques were then employed to look at the data coming from the electrode arrays, in order to attach meaning to the response from input information. One such method represents a new way of processing experimental data to look for real time phase synchrony between pairs of electrodes. As an extension, an application of recognition due to pattern formation from nonlinear dynamics in the vicinity of electrode in electrolyte has been proposed to design a novel multielectrode biosensor capable of simultaneous detection of multiple analytes.
机译:本文研究了一种全新的信息处理形式,一种受到大脑启发并通过电化学实现的信息处理形式。该研究涉及镍在硫酸电解质中的电溶解动力学,其中阳极电流响应电解质和表面条件的三维变化,从而产生了许多时空模式。我们能够观察到动力学演变过程中具有特定扰动的明显变化,并将这些模式作为对系统输入的认知响应进行关联。本文还旨在通过利用计算机科学和信息理论中的形式化来阐明信息处理的含义。通过探索非线性动力学系统中模式形成的新兴理论领域,我们证明了物理系统中的瞬态动力学和吸引子如何具有实现信息处理形式化的所有必要组成部分。;实验工作包括对控制参数的识别,表征的研究。随后的时间模式和系统对振荡电压扰动形式的信息响应的检查。作为这项工作的一部分,我们开发了电子,数据采集硬件以及从系统获得的数据的采集,控制和处理所必需的软件。然后采用了各种数据处理和模式识别技术来查看来自电极阵列的数据,以便将含义附加到来自输入信息的响应中。一种这样的方法代表了一种处理实验数据以寻找电极对之间的实时相位同步的新方式。作为扩展,已经提出了由于来自电解质中电极附近的非线性动力学的图案形成而导致的识别的应用,以设计能够同时检测多种分析物的新型多电极生物传感器。

著录项

  • 作者

    Sadeghi H., S. Saman.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Chemistry Analytical.;Chemistry Physical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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