EMT/NANO: Computation Using Nanomechanical Oscillator Networks

EMT/NANO：使用纳米机械振荡器网络进行计算

• 批准号: 0829885
• 负责人: Pritiraj Mohanty
• 金额: $ 30万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829885&HistoricalAwards=false
• 关键词: EMT; NANO; Computation; Using; Nanomechanical

Computation with Nanomechanical Oscillator NetworksPI: Pritiraj MohantyBoston UniversityLayman AbstractThe neural computing paradigm is inspired by a simple understanding: synchronization of oscillations in a network of individual units in the brain is somehow related to the associative memory and learning functions. This concept of storage and retrieval of complex patterns in the synchronized states of an oscillatory network extends from pattern recognition in the brain to a number of fascinating natural occurring phenomena of synchronization such as the rhythmic blinking of a congregation of fireflies and clock-like beating of pacemaker cells in a human heart. However, practical realization of neurocomputers has been elusive in spite of intense theoretical activity in bio-inspired computing. This research involves the development of a scalable architecture, based on silicon-based nanomechanical oscillator networks as building blocks, towards a hardware implementation of nueorocomputing. Graduate, undergraduate and high school students are trained on advanced concepts of new computing paradigms, nanofabrication and ultra-sensitive mechanical measurements. The students are given a multidisciplinary exposure while undergoing specialized training at the frontiers of technological and scientific advances. Technical AbstractThis research involves an experimental approach, which uses nanomechanical oscillator networks as building blocks of a bio-inspired computation paradigm. Drawing on advances and insights from computing in neurophysiological systems, the investigators study a network of nanomechanical oscillators, capable of storing and retrieving information in the synchronized states of the network. This research involves design, modeling, fabrication, and characterization of prototypes of nanomechanical oscillator networks. The investigators study the response of such networks to complex input patterns to determine whether the network is capable of ?learning.? This research involves the education and training of graduate, undergraduate and high school students in a vertically integrated structure.-------

用纳米机械振荡器网络计算PI：Pritiraj MohantyBoston UniversityLayman摘要神经计算范式的灵感来自一个简单的理解：大脑中单个单元网络中振荡的同步与联想记忆和学习功能有关。在振荡网络的同步状态中存储和检索复杂模式的概念从大脑中的模式识别扩展到许多迷人的自然发生的同步现象，例如萤火虫聚集的有节奏的闪烁和人类心脏中起搏器细胞的时钟般的跳动。然而，神经计算机的实际实现一直难以捉摸，尽管在生物启发的计算激烈的理论活动。这项研究涉及到一个可扩展的架构的发展，基于硅基纳米机械振荡器网络作为构建模块，对nueorocomputing的硬件实现。 研究生、本科生和高中生接受新计算范式、纳米纤维和超灵敏机械测量的先进概念培训。学生们在接受技术和科学进步前沿的专门培训时获得了多学科的知识。技术摘要这项研究涉及一种实验方法，它使用纳米机械振荡器网络作为生物启发计算范式的构建模块。利用神经生理系统计算的进步和见解，研究人员研究了一个纳米机械振荡器网络，能够在网络的同步状态下存储和检索信息。这项研究涉及纳米机械振荡器网络原型的设计，建模，制造和表征。研究人员研究这种网络对复杂输入模式的反应，以确定网络是否能够？学习。？这项研究涉及研究生、本科生和高中生的教育和培训，采用纵向一体化结构。