Yumi Takizawa PhD

Yumi Takizawa received a Ph.D. degree from the University of Tokyo in 1994 and a BS degree from Shinshu University in 1984. She joined the Communication System Lab., OKI Electric, Tokyo. Then she joined the Institute of Statistical Mathematics (ISM) as an associate professor in 1995. She has been engaged in the experimental study of neural systems in weakly electric fish at the University of Virginia, USA, in 1998 and 2000. The Best Paper Prize of Neurology’12, WSEAS/NAUN was awarded to this study, in July 2012.

She will present the latest studies on neural systems for the perception of time and the position in space of events. This scheme is based on the theory of signal processing on prediction. She and her colleague, Fukasawa focused on an electrical oscillation in a neuron and synchronization by a neural group. A neuron operates as an oscillator for pulse or plateau potentials for external excitation. If the oscillators are connected with each other, the neural group provides stable and synchronous systems. Neural systems can estimate the position of events by the operation to minimize the error between predicted and the observed input signals from generating source. This scheme is evaluated for the detection of the location and time of sound sources using the acoustic sensors distributed in 3D space. These schemes could be applied to remote sensing systems for environmental measuring and resource exploration.