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Article
Open AccessA comparison of neuroelectrophysiology databases
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 collaboration. This paper com...
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Article
Open AccessCorrection to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED)
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Article
Open AccessBuilding FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED)
Human electrophysiological and related time series data are often acquired in complex, event-rich environments. However, the resulting recorded brain or other dynamics are often interpreted in relation to more...
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Article
Open AccessHigh-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task
In this report we present a mobile brain/body imaging (MoBI) dataset that allows study of source-resolved cortical dynamics supporting coordinated gait movements in a rhythmic auditory cueing paradigm. Use of ...
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Article
In Memoriam: Fernando Lopes da Silva (1935–2019)
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Living Reference Work Entry In depth
MEG/EEG Data Analysis Using EEGLAB
EEGLAB (sccn.ucsc.edu/eeglab) is an easily extensible, highly evolved, and widely used open-source environment for signal processing and visualization of electroencephalographic data running on MATLAB (The Mat...
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Reference Work Entry In depth
MEG/EEG Data Analysis Using EEGLAB
EEGLAB (sccn.ucsc.edu/eeglab) is an easily extensible, highly evolved, and widely used open-source environment for signal processing and visualization of electroencephalographic data running on MATLAB (The Mat...
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Article
Open AccessDynamics of directional tuning and reference frames in humans: A high-density EEG study
Recent developments in EEG recording and signal processing have made it possible to record in an unconstrained, natural movement task, therefore EEG provides a promising approach to understanding the neural me...
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Chapter and Conference Paper
The Invisible Maze Task (IMT): Interactive Exploration of Sparse Virtual Environments to Investigate Action-Driven Formation of Spatial Representations
The neuroscientific study of human navigation has been constrained by the prerequisite of traditional brain imaging studies that require participants to remain stationary. Such imaging approaches neglect a cen...
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Article
Crowd labeling latent Dirichlet allocation
Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for gathering such labels from workers who...
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Article
Can Pornography be Addictive? An fMRI Study of Men Seeking Treatment for Problematic Pornography Use
Pornography consumption is highly prevalent, particularly among young adult males. For some individuals, problematic pornography use (PPU) is a reason for seeking treatment. Despite the pervasiveness of pornog...
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Chapter and Conference Paper
Coordinate Systems in the Motor System: Computational Modeling and EEG Experiment
How neurons in the motor system control arm movements is not yet understood completely. Here we show the equations of motion (EOMs) governing reaching simplify when expressed in spatial coordinates, composed o...
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Chapter and Conference Paper
An Automated Function for Identifying EEG Independent Components Representing Bilateral Source Activity
Independent component analysis (ICA) decomposition can be used for the identification and localization of brain generators. ICA separates EEG data into a sum of maximally distinct signals (independent componen...
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Article
Closed-Loop Brain–Machine–Body Interfaces for Noninvasive Rehabilitation of Movement Disorders
Traditional approaches for neurological rehabilitation of patients affected with movement disorders, such as Parkinson’s disease (PD), dystonia, and essential tremor (ET) consist mainly of oral medication, phy...
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Chapter
MEG/EEG Data Analysis Using EEGLAB
EEGLAB (sccn.ucsc.edu/eeglab) is an easily extensible, highly evolved, and widely used open source environment for signal processing and visualization of electroencephalographic data running on MATLAB (The Mathwo...
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Article
Open AccessEffects of Forward Model Errors on EEG Source Localization
Subject-specific four-layer boundary element method (BEM) electrical forward head models for four participants, generated from magnetic resonance (MR) head images using NFT (www.sccn.ucsd.edu/wik...
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Chapter
BCI Software Platforms
In this chapter, we provide an overview of publicly available software platforms for brain–computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedb...
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Article
Clinical Utility of EEG in Attention-Deficit/Hyperactivity Disorder: A Research Update
Psychiatric research applications of electroencephalography (EEG), the earliest approach to imaging human cortical brain activity, are attracting increasing scientific and clinical interest. For more than 40 y...
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Chapter and Conference Paper
Contrast Functions for Independent Subspace Analysis
We consider the Independent Subspace Analysis problem from the point of view of contrast functions, showing that contrast functions are able to partially solve the ISA problem. That is, basic ICA can solve the...
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Chapter and Conference Paper
First Demonstration of a Musical Emotion BCI
Development of EEG-based brain computer interface (BCI) methods has largely focused on creating a communication channel for subjects with intact cognition but profound loss of motor control from stroke or neur...
