Investigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages

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Investigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages

Neuroinformatics has recently emerged as a powerful field for the statistical analysis of neural data. This study uses machine learning techniques to analyze neural spiking activities within a population of neurons with the aim of finding spiking patterns associated with different stages of movement...

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Bibliographic Details
Main Authors:	Hollingshead, Luke, Putrino, D., Ghosh, Soumya, Tan, Tele
Format:	Conference Paper
Published:	IEEE 2014
Online Access:	http://hdl.handle.net/20.500.11937/62997

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