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

本研究通过对大脑、生物系统等生物信息系统的研究，探索人类与信息系统共存的方式。模拟使用由尖峰神经元组成的相互连接的神经网络模型进行，其中神经元尖峰可以被视为大脑中的信息载体（计算机网络中的数据包）。由此产生的神经元活动的簇模式类似于计算机网络中的信息流。此外，增强神经元之间的相互连接增强了聚类。这一结果表明，增强节点间的连接可以使计算机网络中高度活跃的节点定位。通过建模探索心血管系统可能采用的控制策略，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操作点的控制策略，而是允许一定程度的变化的宽松策略。同时，层次化控制策略对于切换控制变量的全局激活水平是必不可少的。研究了实际海马体神经网络与非线性振荡器在不同耦合模式下的耦合动力学。本研究表明，一个本质上具有高自由度的系统，在控制策略的影响下，会表现出较低自由度的行为。大脑被认为是通过不同的控制在神经网络中实现这种多样化的动态。因此，明确大脑和生物系统的控制策略可以为互联网的网络控制和信息访问控制提供一个新的框架。

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.