CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification

Abstract Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hindered by substantial intra- and inter-subject variability. Here, we develop an archi...

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Bibliographic Details
Main Authors: D. F. Collazos-Huertas, A. M. Álvarez-Meza, C. D. Acosta-Medina, G. A. Castaño-Duque, G. Castellanos-Dominguez
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Brain Informatics
Subjects:
Motor imagery
Convolutional Neural Networks
Spatial dropping
Online Access:http://link.springer.com/article/10.1186/s40708-020-00110-4

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http://link.springer.com/article/10.1186/s40708-020-00110-4

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