| Project/Area Number |
16K12524
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Life / Health / Medical informatics
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2016-04-01 – 2019-03-31
|
| Project Status |
Completed (Fiscal Year 2018)
|
| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
|---|
| Keywords | 神経回路網 / 多重通信 / 機械学習 / スパイク波 / 神経の揺らぎ / リレーニューロン / 培養神経回路網 / シミュレーション / Natural neural network / Multiplex communication / Learning / Spike wave / Fluctuation of neuron / Relay neuron / ニューラルネットワーク / 刺激発信源 / 識別学習 / 高速化 / 脳内情報 / 培養神経細胞 / 脳型情報処理 / 知能回路原理 |
|---|
| Outline of Final Research Achievements |
As an intermediate level approach between AI and neuroscience, behaviors of artificial neural network have been elucidated. However, since functions of the neural network have not been enough elucidated, we are studying the intermediate level function of the neural network focused on signal transmission or communication function. In 25×25 mesh neural network simulation, we have confirmed it is possible to set asynchronous multiplex communication channel such as 9:9. Corresponding to these, we showed we can set communication channels such as 3:n in wet experiments on cultured neuronal networks. That is, several receiving neurons (group) away from the stimulated neurons (group) could classify/recognize what kind of stimulation was added based on the arrived spike waves. Both of the simulation in artificial neural networks and the experiment in cultured neuronal networks support the multiplex communication scheme in the brain.
|
| Academic Significance and Societal Importance of the Research Achievements |
脳神経回路について，マクロ的視点からは，AIや深層学習の研究が進んできた．ミクロ的視点からは，神経自体の特性や動作，また中間レベルの神経回路網の特性や振る舞いについてもよく研究されてきた．しかしながら神経回路網の機能については十分研究されていない．本研究は，情報伝達・通信の視点から，シミュレーションと，培養神経回路の対応を取りつつ，神経回路網の機能について研究を行ってきたものである．
その結果，神経回路網では空間的多重通信が行われているであろうことが結論された．これはシミュレーションと培養神経における実験の両面から，神経回路網内の多重通信原理を指摘・解明した最初の研究である．
|
