A Comparative Study of Information Processing in Biological and Bio-inspired Systems: Performance Criteria, Resources Tradeoffs and Fundamental Limits

生物和仿生系统中信息处理的比较研究：性能标准、资源权衡和基本限制

• 批准号: 0130812
• 负责人: Andreas Andreou
• 金额: $ 40.08万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-01 至 2004-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0130812&HistoricalAwards=false
• 关键词: Comparative; Study; Information; Processing; Biological

EIA-0130812 Andreas G. Andreou Johns Hopkins University A Comparative Study of Information Processing in Biological and Bio-inspired systems: Performance Criteria, Resources Tradeoffs and Fundamental LimitsWe propose a research program towards a fundamental and quantitative understanding of the tradeoffs between system performance and resources such as size, reliability and energy requirements for biological and bio-inspired microsystems. We employ the mathematical tools of communication theory and model natural or synthetic physical structures as micro-scale communication networks, studying them under physical constraints at two different levels of abstraction. At the functional level we examine the operational and task specification, while at the implementation level we examine the physical specification and realization. Both levels of abstraction are characterized by Shannon's channel capacity, as determined by the channel bandwidth, the signal power; and the noise power. The link between the functional level and the physical level of abstraction is established through first principles and phenomenological otherwise, models for transformations on the signal, physical constraints on the system, and noise that degrades the signal.

Andreas G. Andreou Johns霍普金斯大学生物和生物启发系统信息处理的比较研究：性能标准，资源权衡和基本限制我们提出了一个研究计划，对生物和生物启发微系统的系统性能和资源之间的权衡，如大小，可靠性和能源需求的基本和定量的理解。 我们采用通信理论的数学工具，并将自然或合成的物理结构建模为微尺度通信网络，在两个不同的抽象层次上在物理约束下研究它们。 在功能层面上，我们检查操作和任务规范，而在实现层面上，我们检查物理规范和实现。 这两个抽象层次的特征在于香农的信道容量，由信道带宽，信号功率和噪声功率确定。 功能级和物理抽象级之间的联系是通过第一原理和现象学建立的，否则，信号的转换模型，系统的物理约束，以及降低信号的噪声。