Publications by authors named "Kay Robbins"

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Hierarchical Event Descriptor library schema for EEG data annotation.
Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Kay Robbins

Sci Data· August 2025

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HED LANG - A Hierarchical Event Descriptors library extension for annotation of language cognition experiments.
Monique Denissen, Bernhard Pöll, Kay Robbins, Scott Makeig, Florian Hutzler

Sci Data· December 2024

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One hundred years of EEG for brain and behaviour research.
Faisal Mushtaq, Dominik Welke, Anne Gallagher, Yuri G Pavlov, Layla Kouara, Kay Robbins

Nat Hum Behav· August 2024

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Events in context-The HED framework for the study of brain, experience and behavior.
Scott Makeig, Kay Robbins

Front Neuroinform· May 2024

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The past, present, and future of the brain imaging data structure (BIDS).
Russell A Poldrack, Christopher J Markiewicz, Stefan Appelhoff, Yoni K Ashar, Tibor Auer, Kay A Robbins

Imaging Neurosci (Camb)· March 2024

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The Past, Present, and Future of the Brain Imaging Data Structure (BIDS).
Russell A Poldrack, Christopher J Markiewicz, Stefan Appelhoff, Yoni K Ashar, Tibor Auer, Kay A Robbins

ArXiv· January 2024

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Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).
Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig

Neuroinformatics· July 2023

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Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).
Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig

Neuroinformatics· April 2022

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Capturing the nature of events and event context using hierarchical event descriptors (HED).
Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig

Neuroimage· December 2021

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How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking Study.
Kay A Robbins, Jonathan Touryan, Tim Mullen, Christian Kothe, Nima Bigdely-Shamlo

IEEE Trans Neural Syst Rehabil Eng· May 2020

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Automated EEG mega-analysis II: Cognitive aspects of event related features.
Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay Robbins

Neuroimage· February 2020

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Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies.
Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay Robbins

Neuroimage· February 2020

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Single-Trial Classification of Disfluent Brain States in Adults Who Stutter.
John C Myers, Farzan Irani, Edward J Golob, Jeffrey R Mock, Kay A Robbins

Conf Proc IEEE Int Conf Syst Man Cybern· October 2018

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An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons.
Kay Robbins, Kyung-Min Su, W David Hairston

Data Brief· February 2018

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EEG-Annotate: Automated identification and labeling of events in continuous signals with applications to EEG.
Kyung-Min Su, W David Hairston, Kay Robbins

J Neurosci Methods· January 2018

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BLASST: Band Limited Atomic Sampling With Spectral Tuning With Applications to Utility Line Noise Filtering.
Kenneth Ray Ball, W David Hairston, Piotr J Franaszczuk, Kay A Robbins

IEEE Trans Biomed Eng· September 2017

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PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG.
Kenneth Ball, Nima Bigdely-Shamlo, Tim Mullen, Kay Robbins

Comput Intell Neurosci· February 2017

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BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis.
Kelly Kleifges, Nima Bigdely-Shamlo, Scott E Kerick, Kay A Robbins

Front Neurosci· February 2017

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Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG.
Nima Bigdely-Shamlo, Jeremy Cockfield, Scott Makeig, Thomas Rognon, Chris La Valle, Kay A Robbins

Front Neuroinform· October 2016

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Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach.
Nima Bigdely-Shamlo, Scott Makeig, Kay A Robbins

Front Neuroinform· March 2016

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The PREP pipeline: standardized preprocessing for large-scale EEG analysis.
Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, Kyung-Min Su, Kay A Robbins

Front Neuroinform· July 2015

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Classification of imperfectly time-locked image RSVP events with EEG device.
Jia Meng, Lenis Mauricio Meriño, Kay Robbins, Yufei Huang

Neuroinformatics· April 2014

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DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals.
Vernon Lawhern, W David Hairston, Kay Robbins

PLoS One· December 2013

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MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB.
Jeremy Cockfield, Kyungmin Su, Kay A Robbins

Front Neuroinform· October 2013

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Detecting alpha spindle events in EEG time series using adaptive autoregressive models.
Vernon Lawhern, Scott Kerick, Kay A Robbins

BMC Neurosci· September 2013

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