Audiovisualization of real-time neuroimaging data.
Advancements in brain imaging techniques have significantly expanded the size and complexity of real-time neuroimaging and behavioral data. However, identifying patterns, trends and synchronies within these datasets presents a significant computational challenge. Here, we demonstrate an approach tha...
Main Authors: | David N Thibodeaux, Mohammed A Shaik, Sharon H Kim, Venkatakaushik Voleti, Hanzhi T Zhao, Sam E Benezra, Chinwendu J Nwokeabia, Elizabeth M C Hillman |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0297435 |
Similar Items
-
Neural Activity During Audiovisual Speech Processing: Protocol For a Functional Neuroimaging Study
by: András Bálint, et al.
Published: (2022-06-01) -
3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images
by: Chentao Wen, et al.
Published: (2021-03-01) -
Correction: Neural Activity During Audiovisual Speech Processing: Protocol For a Functional Neuroimaging Study
by: András Bálint, et al.
Published: (2022-06-01) -
Real-World Neuroimaging Technologies
by: Kaleb Mcdowell, et al.
Published: (2013-01-01) -
An Internet-Based Real-Time Audiovisual Link for Dual MEG Recordings.
by: Andrey Zhdanov, et al.
Published: (2015-01-01)