Improvement in Pattern Separation by Regulating Neurogenesis in Hippocampal Culture
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- Tanaka Yukimi
- Graduate School of Frontier Sciences, The University of Tokyo
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- Kadokura Tomonosuke
- Graduate School of Frontier Sciences, The University of Tokyo
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- Isomura Takuya
- Graduate School of Frontier Sciences, The University of Tokyo
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- Shimba Kenta
- Graduate School of Frontier Sciences, The University of Tokyo
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- Kotani Kiyoshi
- Research Center for Advanced Science and Technology, The University of Tokyo JST, PRESTO
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- Jimbo Yasuhiko
- Graduate School of Engineering, The University of Tokyo
Bibliographic Information
- Other Title
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- 培養海馬ニューロン新生の制御によるパターン分離能力の向上
- バイヨウ カイバ ニューロン シンセイ ノ セイギョ ニ ヨル パターン ブンリ ノウリョク ノ コウジョウ
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Abstract
The newly generated neurons in adult animals are known to enhance the pattern separation capability. However, it remains unclear how the new-born neurons change the activity patterns in neuronal networks during the pattern separation. To verify the change of the whole neuronal network activity, the in vitro neurogenesis model is useful because of its observability and controllability. To develop the in vitro neurogenesis model, we modulated the amount of newly generated neurons in cultures by applying basic fibroblast growth factor (bFGF), or cytarabine (Ara-C). To investigate the pattern separation capability, the neural cultures were tetanized with two spatial-pattern stimuli, and then the change in neural response evoked by different pattern was evaluated using microelectrode array. We confirmed that the doublecortin expression in cultures with bFGF was up-regulated than that with Ara-C, indicating that bFGF promoted the neurogenesis. We found that the enhanced neurogenesis contributed the clusters of neuronal networks to specialize their responses to one of two spatial-pattern stimuli after tetanization, while the entire response tended to shift toward the immediately preceding pattern without the neurogenesis. These results suggest that the property of newly generated neurons that they only respond to the specific pattern unlike mature neurons enhances the pattern separation capability of the entire network.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 135 (7), 805-812, 2015
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679585462912
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- NII Article ID
- 130005086256
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 026607990
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed