60 citations · 68 across the 20 of their papers we have counts for
5 papers · 1 filter
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA
Gwenevere Frank, Seyed Yahya Shirazi, Jason Palmer +3
EEG continues to find a multitude of uses in both neuroscience research and medical practice, and independent component analysis (ICA) continues to be an important tool for analyzi…
Deep learning applied to EEG data with different montages using spatial attention
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
The ability of Deep Learning to process and extract relevant information in complex brain dynamics from raw EEG data has been demonstrated in various recent works. Deep learning mo…
Hierarchical Event Descriptor library schema for EEG data annotation
Dora Hermes, Tal Pal Attia, Sándor Beniczky +11
Standardizing terminology to annotate electrophysiological events can improve both computational research and clinical care. Sharing data enriched with standard terms can facilitat…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
A Comparison of Neuroelectrophysiology Databases
Priyanka Subash, Alex Gray, Misque Boswell +22
As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and…