Dynamical Change of Signal Complexity in the Brain During Inhibitory Control Processes
The ability to inhibit impulses and withdraw certain responses are essential for human’s survival in a fast-changing environment. These processes happen fast, in a complex manner, and require our brain to make a fast adaptation to inhibit the impulsive response. The present study employs multiscale...
Main Authors: | Shih-Lin Huang, Philip Tseng, Wei-Kuang Liang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-10-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/17/10/6834 |
Similar Items
-
Altered EEG Signal Complexity Induced by Hand Proximity: A Multiscale Entropy Approach
by: Philip Tseng, et al.
Published: (2020-10-01) -
Multiscale Entropy as a New Feature for EEG and fNIRS Analysis
by: Thanate Angsuwatanakul, et al.
Published: (2020-02-01) -
Neurophysiological Basis of Multi-Scale Entropy of Brain Complexity and Its Relationship With Functional Connectivity
by: Danny J. J. Wang, et al.
Published: (2018-05-01) -
Wide Range Multiscale Entropy Changes through Development
by: Nicola R. Polizzotto, et al.
Published: (2015-12-01) -
Cortical maturation from childhood to adolescence is reflected in resting state EEG signal complexity
by: Stefon van Noordt, et al.
Published: (2021-04-01)