Information processing in hierarchical cortical local circuit

本课题的目标是发展基于大脑皮层局部结构（局部电路）操作系统的信息处理新原理。我们研究了皮层神经元的动态膜特性，并分析了层次局部电路动力学。我们通过关注膜的动态特性来探索新的信息处理的潜力，并提出了一种新的信息原理，称为“最小条件熵原理”。

The goal of this project is development of new information processing principles based on the operation system in neocortical local structure (local circuit). We investigated the dynamical membrane properties of cortical neurons and analyzed hierarchical local circuit dynamics. We explored the potential of new information processing by focusing on the dynamical membrane properties, and proposed a novel information principle named "minimum conditional entropy principle".