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Erschienen in:
Big Data Analytics: Views from Statistical and Computational Perspectives Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Nonlinear Technique for Analysis of Big Data in Neuroscience

verfasst von : Koel Das, Zoran Nenadic

Erschienen in: Big Data Analytics

Verlag: Springer India

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Abstract

Recent technological advances have paved the way for big data analysis in the field of neuroscience. Machine learning techniques can be used effectively to explore the relationship between large-scale neural and behavorial data. In this chapter, we present a computationally efficient nonlinear technique which can be used for big data analysis. We demonstrate the efficacy of our method in the context of brain computer interface. Our technique is piecewise linear and computationally inexpensive and can be used as an analysis tool to explore any generic big data.

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Vorheriges Kapitel Microbiome Data Mining for Microbial Interactions and Relationships
Nächstes Kapitel Big Data and Cancer Research
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Metadaten
Titel
A Nonlinear Technique for Analysis of Big Data in Neuroscience
verfasst von
Koel Das
Zoran Nenadic
Copyright-Jahr
2016
Verlag
Springer India
Buch
Big Data Analytics

Print ISBN: 978-81-322-3626-9

Electronic ISBN: 978-81-322-3628-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-81-322-3628-3_13