Inferring structure in neural time series data: dynamics and connectivity

The ability to derive insights from complex high-dimensional data, such as neural data, is important to improve our understanding of the underlying system. In this thesis, we approach this by studying two aspects of neural data: dynamics and connectivity. First, we analyze the dynamics of the sponta...

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書目詳細資料
主要作者: Suryadi
其他作者: Chew Lock Yue
格式: Thesis-Doctor of Philosophy
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/170411
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機構: Nanyang Technological University
語言: English

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