2011 Fiscal Year Final Research Report
Different information processing styles in superficial and deep layer of cortex
Project/Area Number |
22700360
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Neuroscience in general
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Research Institution | The Institute of Physical and Chemical Research |
Principal Investigator |
TAKEKAWA Takashi 独立行政法人理化学研究所, 脳回路機能理論研究チーム, 研究員 (50415220)
|
Project Period (FY) |
2010 – 2011
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Keywords | 集団発火時系列 / 発火率 / 高次相関 / 情報量解析 / カーネル主成分分析 / マルチユニットレコーディング / 運動野 |
Research Abstract |
Firing rates of neurons in cortex are highly variable from layer to layer and it is possible that the different firing rate is formed by different information representation. Introducing a novel information analysis framework using kernel principle component analysis(Kernel PCA) methods, neural activities in rat motor cortex were analyzed. As a result, this study shows that networks in superficial layer represent cue information using higher order correlation, while neurons in deep layer represent detailed motor information by simply its firing rate.
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