Cargando…
Comparing Methods of Feature Extraction of Brain Activities for Octave Illusion Classification Using Machine Learning
The aim of this study was to find an efficient method to determine features that characterize octave illusion data. Specifically, this study compared the efficiency of several automatic feature selection methods for automatic feature extraction of the auditory steady-state responses (ASSR) data in b...
Autores principales: | Pilyugina, Nina, Tsukahara, Akihiko, Tanaka, Keita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512176/ https://www.ncbi.nlm.nih.gov/pubmed/34640727 http://dx.doi.org/10.3390/s21196407 |
Ejemplares similares
-
Theta-burst stimulation causally affects side perception in the Deutsch’s octave illusion
por: Capotosto, Paolo, et al.
Publicado: (2018) -
GNU Octave by Example: A Fast and Practical Approach to Learning GNU Octave
por: Pajankar, Ashwin
Publicado: (2020) -
An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram
por: Vo, Khuong, et al.
Publicado: (2020) -
Essential Matlab and Octave
por: Rogel-Salazar, Jesus
Publicado: (2014) -
Cahiers Octave Mirbeau /
Publicado: (2004)