A brain is large-scaled networks comprising of neurons. A topology of these networks is not random but complex, i.e., it exhibits some kinds of complex networks. One of the most famous topology is the “small-world“ topology. However, how such complex networks contribute on information processing in brains are still unclear. How does information flow in the network? How does the network compute input information? We’d like to reveal them by constructing artificial neural networks with the complex topological features. To clarify the role of the complex networks can lead to development of new artificial intelligence realizing advanced information processing like our brains.
We are also investigating an atypical brains in autism spectrum disorders, which is one of neurodevelopmental disorders. We are constructing a simulator of cortical neural networks to investigate relationship between brain structures and their activities and to elucidate mechanisms of symptoms of ASD that is cased by atypical brain structures. We’d like to develop a more sophisticated simulator to examine the effect of medication of ASD in future.
Please see the website of Yuji Kawai for more details.