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

0130708-Mikhail I.Rabinovich-加州大学圣地亚哥分校-标题：基础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相互作用可以成为理解基本神经计算原理以及构建小型混合和人工处理器的有效途径，这将为现代信息技术创造新的视角。基于我们之前对活细胞中的神经动力学、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，我们计划朝两个方向工作：(I)我们将探索使用动态元素的信息处理的主要原理，即神经元、突触和小的神经回路；以及(Ii)我们将利用电子神经元和突触来重新配置真实的生物网络，以便将这些电路转变为具有新功能和新能力的可控信息设备。

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.