A new perspective for the training assessment: Machine learning-based neurometric for augmented user's evaluation
10.3389/fnins.2017.00325
Saved in:
Main Authors: | Borghini, G, Aricò, P, Di Flumeri, G, Sciaraffa, N, Colosimo, A, Herrero, M.-T, Bezerianos, A, Thakor, N.V, Babiloni, F |
---|---|
Other Authors: | ELECTRICAL AND COMPUTER ENGINEERING |
Format: | Article |
Published: |
Frontiers Media
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/183518 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Brain interaction during cooperation: Evaluating local properties of multiple-brain network
by: Sciaraffa, N, et al.
Published: (2020) -
Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis
by: Li, Xinyang, et al.
Published: (2018) -
Eeg cortical connectivity analysis of working memory reveals topological reorganization in theta and alpha bands
by: Dai Z., et al.
Published: (2020) -
Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm
by: Zhang, Junpeng, et al.
Published: (2016) -
Allostasis in health and food addiction
by: De Ridder, D, et al.
Published: (2020)