Using Transfer Entropy to Measure the Patterns of Information Flow Though Cortex: Application to MEG Recordings From a Visual Simon Task

BMC Neuroscience - United Kingdom
doi 10.1186/1471-2202-10-s1-p232
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Applying Transfer Entropy Approach to Investigate the Information Flow Among ASEAN Stock Markets

Science & Technology Development Journal - Economics - Law and Management
2020English

Retinotopic Mapping of the Primary Visual Cortex - A Challenge for MEG Imaging of the Human Cortex

European Journal of Neuroscience
Neuroscience
2011English

Effective Transfer Entropy Approach to Information Flow Between Exchange Rates and Stock Markets

Chaos, Solitons and Fractals
Nonlinear PhysicsApplied MathematicsStatisticalMathematicsAstronomyPhysics
2014English

Independent Component Approach to the Analysis of EEG and MEG Recordings

IEEE Transactions on Biomedical Engineering
Biomedical Engineering
2000English

Quantifying Information Flow Using Min-Entropy

2011English

Using Visual Information Analysis to Explore Complex Patterns in the Activity of Designers

Design Studies
ArtsHumanitiesEngineeringComputer Science ApplicationsArchitectureSocial SciencesArtificial Intelligence
2014English

The Enhanced Information Flow From Visual Cortex to Frontal Area Facilitates SSVEP Response: Evidence From Model-Driven and Data-Driven Causality Analysis

Scientific Reports
Multidisciplinary
2015English

Transfer Information Assessment in Diagnosis of Vasovagal Syncope Using Transfer Entropy

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2019English

Detection of Arrhythmic Cardiac Signals From ECG Recordings Using the Entropy-Complexity Plane

Proceedings
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy