Increased Neural Efficiency in Visual Word Recognition: Evidence from Alterations in Event-Related Potentials and Multiscale Entropy
Visual word recognition is a relatively effortless process, but recent research suggests the system involved is malleable, with evidence of increases in behavioural efficiency after prolonged lexical decision task (LDT) performance. However, the extent of neural changes has yet to be characterized i...
Main Authors: | Kelsey Cnudde, Sophia van Hees, Sage Brown, Gwen van der Wijk, Penny M. Pexman, Andrea B. Protzner |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/3/304 |
Similar Items
-
The Multiscale Entropy Algorithm and Its Variants: A Review
by: Anne Humeau-Heurtier
Published: (2015-05-01) -
Time Series Analysis Using Composite Multiscale Entropy
by: Kung-Yen Lee, et al.
Published: (2013-03-01) -
Multiscale Entropy Approaches and Their Applications
by: Anne Humeau-Heurtier
Published: (2020-06-01) -
Fractional Refined Composite Multiscale Fuzzy Entropy of International Stock Indices
by: Zhiyong Wu, et al.
Published: (2019-09-01) -
Refined Composite Multivariate Multiscale Dispersion Entropy and Its Application to Fault Diagnosis of Rolling Bearing
by: Congzhi Li, et al.
Published: (2019-01-01)