Synchronization of Neural Systems and Sensing of Acoustic Events in the Time - Space Domain

Professor Atsushi Fukasawa
Institute of Statistical Mathematics
Japan
E-mail: takizawa@ism.ac.jp
 

Abstract: Synchronization is an essential condition to organize large systems for computation, control, and telecommunication. Synchronization provides the system with stability and reliability. This condition should be applied to neural systems corresponding to the above functions. This lecture focuses on the study of neural systems operating under synchronous condition.
He will first present electro-physical modeling of an excitatory neuron. This model is given as the common structure of excitatory cells of paramecium (unicellular organism), neuron, and active semiconductor device. The commonality of these elements gives a unified structure with three zones in electrolyte or solid state semiconductor.
He will then present the principle of systematization of synchronous neural systems. This system was composed of recurrent connection of neurons. The system was applied for sensing of acoustic events in time - space domain of 2D plane and 3D space.

Short biography: Atsushi Fukasawa received the Master of Arts degree in Electrical communication and the Ph.D. degree from Waseda University in 1967 and 1983. He joined Graduate School of Science and Technology, Chiba University as a professor in 1997. He received the Award of the Agency of Science and Technology, Japan in 1982, and Ohm (publisher) Prize in 1994. He received Telecommunication System Technology Prize from the Foundation of Telecommunication Association, Japan in 2004. He is a senior member of the IEEE.