Improving understanding of EEG measurements using transparent machine learning models

Improving understanding of EEG measurements using transparent machine learning models

Physiological datasets such as Electroencephalography (EEG) data offer an insight into some of the less well understood aspects of human physiology. This paper investigates simple methods to develop models of high level behavior from low level electrode readings. These methods include using neuron a...

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Bibliographic Details
Main Authors: Roadknight, Chris, Zong, Guanyu, Rattadilok, Prapa
Format: Book Section
Language:English
Published: Springer Nature 2019
Subjects:
Deep Learning; Physiological data; CAPing
Online Access:https://eprints.nottingham.ac.uk/59612/

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