The Hakubi Project

 Brain is certainly one of the most well-organized network systems. Recently, neuroscientists are acquiring new advanced abilities to observe widely at various scale architectures of the brain from ten centimeter scale to micrometer scale. With accumulating such “big data”, we are facing more computational demands to extract rules or principles existing behind of electrical flow constrained by structural networks at various spatial scales. The main theme of this presentation is how to computationally understand the multiple-scale architectures of the brain as networks, and this presentation includes mainly three topics; The first topic is several examples of whole brain network architecture at macroscopic spatial scale (Shimono, 2013; Shimono, Hatano, 2018). The second topic is how local neuronal circuits within a brain region is designed to sustain efficient information flow (Shimono, Beggs, 2014; Nigam et al., 2016). The final topic is an introduction of our recent attempt to integrate these two different scales. Refer also http://shimono-u.net/ to know more information.