Information Communication in Brain based on Memory Loop Neural Circuit
We have developed a time-shift map of the brain,which shows/ visualizes signal such as EEG and MEG etc. is transmitted/ propagated at each brain part where in each frequency band action potential information of time-to-time is transmitted to and processed at exact remote portion. Assuming the memory is composed of loop neural circuit in the cerebral cortex, we have also shown a feasibility of self organization of loop neural circuit for memory, association, and abstraction,which is algorithmically realizable and able to account well the time-shift map. The generated sequence from the transmitting loop corresponding to the memory is a code by pseudo random sequence which is now popular in spread spectrum communication or mobile CDMA. We give in this paper how a memory content expressed by loop circuit shape is copied to blank area of cerebral cortex etc. using simulation of small scale loop circuit model with four neuron cells and back-propagation learning algorithm. The loop circuit self-organizing model seems to be reasonable in the sense of hardware realizable, having large number of codes corresponding to various memory contents, and able to access to other memories associatively. Thus, the model seems able to account well unifiedly the information processing function of the brain.
Brain information processing Neural circuit Loop circuit Associative memory Memory transcription Abstraction Back propagation learning
Takuya Kamimura Kazuki Nakamura Kazuyo Yoneda Yen-Wei Chen Yuko Mizuno-Matsumoto Tomomitsu Miyoshi Hajime Sawai Shinichi Tamura
Ritsumeikan University l-1-1 Nojihigashi, Kusatsu-shi, Shiga, 525-8577 Japan University of Hyog0 1-3-3 Higashikawasaki-cho, Chuuou-ku, Kobe-shi, Hyogo, 650-0044 Japan NBL Corporation 5-37 Rinkuu-minami-ourai, Izumisano-shi.Osaka. 598-0047 Japan Osaka University 2-2 Yamadaoka. Suita-shi. Osaka, 565-0871 Japan
国际会议
成都
英文
684-688
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）