Proposals and simulations from brain science for regulating large-scale and wide-spread information systems

本研究通过研究脑和生物系统等生物信息系统，探索人类与信息系统共存的方式，并使用由神经元棘波组成的互联神经网络模型进行模拟，其中神经元棘波可以被视为大脑中的信息载体(计算机网络中的分组)。由此产生的神经元活动的集群模式类似于计算机网络中的数据包流。此外，加强神经元之间的相互连接可以增强集群。这一结果表明，增强节点间的连接可以导致计算机网络中高活跃节点的局部化。通过建模，探索了可能应用于心血管系统的控制策略，这是心率和血压1/f波动的基础。结果表明，该控制策略不是严格禁止控制变量偏离工作点，而是在一定程度上允许偏差的松散控制策略。同时，采用递阶控制策略对控制变量的全局激活水平进行切换，研究了实际海马神经网络与非线性振荡器耦合的混杂系统在不同耦合方式下的动态特性。这项研究表明，一个本质上高自由度的系统恰好表现出依赖于控制策略的低自由度行为。大脑被认为是通过不同的控制在神经网络中实现如此多样化的动力学，从而阐明了在大脑和生物系统中采用的控制策略可以为网络控制和互联网中的信息访问控制提供一种新的框架。

This study explores the way of coexistence of human being and information system by investigating biological information systems such as brain and biosystems.Simulations were performed using interconnected neural network models consisting of spiking neurons, where neuronal spikes could be regarded as an information carrier in the brain (packets in a computer network). Resulting cluster patterns of neuronal activities are similar to those of packet flow in the computer network. In addition, enhancing mutual connections between neurons augments the clustering. This result indicates that enhancing inter-node connections could result in localizing highly activated nodes in the computer network.Possible control strategy employed in cardiovascular system is explored through modeling, which underlies 1/f fluctuations in heart rate and blood pressure. The results clarified that the control strategy is not a rigid one prohibiting deviations of control variables from an operational point, but that it is a loose one allowing the variations to some extent. Simultaneously, the hierarchical control strategy is shown to be essential that switches global activation level of the control variable.Resulting dynamics of hybrid system coupling an actual hippocampal neural network and nonlinear oscillator is investigated for varied coupling mode. This study suggests that a system of essentially high degree of freedom happens to exhibit behavior of lower degree of freedom dependent on control strategy. Brain is considered to realize such a diverse dynamics in the neural network by varying controls.Thus clarified control strategies employed in the brain and biosystem could provide a novel framework for network control and information access control in the internet.