Biological Information Technology Systems - BITS: Principles of Information Dynamics in Basic Neural Circuits: A Hybrid System Approach

生物信息技术系统 - BITS：基本神经回路信息动力学原理：混合系统方法

• 批准号: 0130708
• 负责人: Mikhail Rabinovich
• 金额: $ 77.5万
• 依托单位: University of California-San Diego
• 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: 2002-02-01 至 2007-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0130708&HistoricalAwards=false
• 关键词: Biological; Information; Technology; Systems; BITS

EIA-0130708-Mikhail I. Rabinovich-University of California-San Diego -Title: Principles of Information Dynamics in Basic Neural Circuits: A Hybrid System ApproachHybrid systems: biological neurons interacting with electronic model neurons via electronic or computer simulated synapses can be a powerful approach for understanding basic neural computational principles and for building small hybrid and artificial processors that will create new perspectives for modern information technologies.Based on our previous studies on neural dynamics in living cells, computer models and analog electronic implementations of model neurons and connections, we are planning to work in two directions: (i) we will explore the main principles of information processing that uses dynamical elements, i.e. neurons, synapses and small neural circuits; and (ii) we will reconfigure real biological networks by utilizing electronic neurons and synapses in order to transform such circuits into controllable information devices with new functions and new abilities.

EIA-0130708-Mikhail I. Rabinovich-加州大学圣地亚哥分校 -标题：基本神经电路中的信息动力学原理：混合系统方法混合系统：生物神经元通过电子或计算机模拟突触与电子模型神经元交互，可以成为理解基本神经计算原理和构建小型混合和人工处理器的强大方法，这将为现代神经元创造新的视角 基于我们之前对活细胞神经动力学、计算机模型以及模型神经元和连接的模拟电子实现的研究，我们计划在两个方向开展工作：（i）我们将探索使用动态元素（即神经元、突触和小神经回路）进行信息处理的主要原理； （ii）利用电子神经元和突触重新配置真实的生物网络，将其转变为具有新功能和新能力的可控信息设备。