Decoding-Accuracy-Based Sequential Dimensionality Reduction of Spatio-Temporal Neural Activities
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- Funamizu Akihiro
- Graduate School of Information Science and Technology, the University of Tokyo
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- Kanzaki Ryohei
- Graduate School of Information Science and Technology, the University of Tokyo Research Center for Advanced Science and Technology, the University of Tokyo
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- Takahashi Hirokazu
- Graduate School of Information Science and Technology, the University of Tokyo Research Center for Advanced Science and Technology, the University of Tokyo PRESTO, JST
Bibliographic Information
- Other Title
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- 識別精度に基づいた時空間的神経活動パターンの逐次的次元縮約法
- シキベツ セイド ニ モトズイタ ジクウカンテキ シンケイ カツドウ パターン ノ チクジテキジゲンシュクヤク ホウ
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Abstract
Performance of a brain machine interface (BMI) critically depends on selection of input data because information embedded in the neural activities is highly redundant. In addition, properly selected input data with a reduced dimension leads to improvement of decoding generalization ability and decrease of computational efforts, both of which are significant advantages for the clinical applications. In the present paper, we propose an algorithm of sequential dimensionality reduction (SDR) that effectively extracts motor/sensory related spatio-temporal neural activities. The algorithm gradually reduces input data dimension by dropping neural data spatio-temporally so as not to undermine the decoding accuracy as far as possible. Support vector machine (SVM) was used as the decoder, and tone-induced neural activities in rat auditory cortices were decoded into the test tone frequencies. SDR reduced the input data dimension to a quarter and significantly improved the accuracy of decoding of novel data. Moreover, spatio-temporal neural activity patterns selected by SDR resulted in significantly higher accuracy than high spike rate patterns or conventionally used spatial patterns. These results suggest that the proposed algorithm can improve the generalization ability and decrease the computational effort of decoding.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 129 (9), 1648-1654, 2009
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204606033536
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- NII Article ID
- 10025101874
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 10421150
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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