Estimation of Cortical Connectivity in Humans 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Estimation of Cortical Connectivity in Humans

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Laura Astolfi 作者
Morgan and Claypool Publishers
譯者
2008-02-06 出版日期
112 頁數
USD 40.00 價格
Paperback
叢書系列
9781598295320 圖書編碼

Estimation of Cortical Connectivity in Humans 在線電子書 圖書標籤: 心理學  認知神經科學   


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Estimation of Cortical Connectivity in Humans 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Estimation of Cortical Connectivity in Humans 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Estimation of Cortical Connectivity in Humans 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Estimation of Cortical Connectivity in Humans 在線電子書 著者簡介


Estimation of Cortical Connectivity in Humans 在線電子書 著者簡介


Estimation of Cortical Connectivity in Humans 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Estimation of Cortical Connectivity in Humans 在線電子書 圖書描述

In the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behavior of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals.

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