| Project/Area Number |
19500257
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Bioinformatics/Life informatics
|
|---|
| Research Institution | University of Miyazaki |
|---|
Principal Investigator |
DATE Akira University of Miyazaki, 工学部, 准教授 (60322707)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
倉田 耕治 琉球大学, 工学部, 教授 (40170071)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
KURATA Koji 琉球大学, 工学部, 教授 (40170071)
|
|---|
| Project Period (FY) |
2007 – 2009
|
| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
|---|
| Keywords | 計算論的神経科学 / 数理モデル / 記憶 / ニューロインフォマティックス / 神経回路モデル / 連想記憶 / 新生ニューロン / 記憶容量 / 学習 / ニューラルネットワーク / 脳 |
|---|
| Research Abstract |
The area of hippocampus in the brain is involved in associative memory recall in which new neurons are born every day. To study the meaning of new-born neurons, we analyzed a property of associative memory networks in which a number of units are replaced. In our network, every time the network learns a new item or pattern, a number of units are erased and the same number of units are added. Our main findings are that the optimal number of replaced units which is relatively small and independent of the network size.
|
