Predicting Trial-by-Trial Variation in Oculomotor Behavior Using Multivariate Electroencephalography Theta Phase
When we interact with our environment, there is often a significant amount of variations in our behavioral responses to incoming sensory input even when inputs are identical. Variations in sensory-motor behavior can be caused by several factors, including changes in cognitive status and intrinsic ne...
Main Authors: | Woojae Jeong, Seolmin Kim, Yee-Joon Kim, Joonyeol Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9052689/ |
Similar Items
-
Single-Trial Cognitive Stress Classification Using Portable Wireless Electroencephalography
by: Justin A. Blanco, et al.
Published: (2019-01-01) -
Electroencephalography based brain-computer interface classfication using phase stability analysis /
by: Muhamad Firdaus Mohd. Rafi, 1991-, author, et al.
Published: (2019) -
Electroencephalography based brain-computer interface classfication using phase stability analysis /
by: Muhamad Firdaus Mohd. Rafi, 1991-, author, et al.
Published: (2019) -
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex
by: Byoung-Kyong Min, et al.
Published: (2021-08-01) -
Effect of valerian on cognitive disorders and electroencephalography in hemodialysis patients: a randomized, cross over, double-blind clinical trial
by: Afshin Samaei, et al.
Published: (2018-12-01)