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Emily S Kappenman

Showing results (1-10 of 44) with videos related to

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Psychophysiology|November 16, 2023
Maximizing signal-to-noise ratio and statistical power in ERP measurement: Single sites versus multi-site average clustersWendy Zhang, Emily S Kappenman
Psychophysiology|December 22, 2016
Introduction to the special issue on recentering science: Replication, robustness, and reproducibility in psychophysiologyEmily S Kappenman, Andreas Keil
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 23, 2016
Best Practices for Event-Related Potential Research in Clinical PopulationsEmily S Kappenman, Steven J Luck
Psychophysiology|August 5, 2020
Resources to assist EEG/ERP researchers during the COVID-19 pandemicSteven J Luck, Emily S Kappenman
Psychophysiology|April 9, 2010
The effects of electrode impedance on data quality and statistical significance in ERP recordingsEmily S Kappenman, Steven J Luck
Schizophrenia Bulletin|November 15, 2011
Manipulation of orthogonal neural systems together in electrophysiological recordings: the MONSTER approach to simultaneous assessment of multiple neurocognitive dimensionsEmily S Kappenman, Steven J Luck
Social Cognitive and Affective Neuroscience|July 27, 2014
Electrocortical evidence for rapid allocation of attention to threat in the dot-probe taskEmily S Kappenman, Annmarie MacNamara, Greg Hajcak Proudfit
Psychophysiology|December 22, 2016
Assessing the internal consistency of the event-related potential: An example analysisNina N Thigpen, Emily S Kappenman, Andreas Keil
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|February 5, 2018
High Temporal Resolution Measurement of Cognitive and Affective Processes in Psychopathology: What Electroencephalography and Magnetoencephalography Can Tell Us About Mental IllnessMolly A Erickson, Emily S Kappenman, Steven J Luck
Journal of Experimental Psychology. Learning, Memory, and Cognition|October 27, 2005
Eye gaze and individual differences consistent with learned attention in associative blocking and highlightingJohn K Kruschke, Emily S Kappenman, William P Hetrick
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Psychophysiology|November 16, 2023
Maximizing signal-to-noise ratio and statistical power in ERP measurement: Single sites versus multi-site average clustersWendy Zhang, Emily S Kappenman
Psychophysiology|December 22, 2016
Introduction to the special issue on recentering science: Replication, robustness, and reproducibility in psychophysiologyEmily S Kappenman, Andreas Keil
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 23, 2016
Best Practices for Event-Related Potential Research in Clinical PopulationsEmily S Kappenman, Steven J Luck
Psychophysiology|August 5, 2020
Resources to assist EEG/ERP researchers during the COVID-19 pandemicSteven J Luck, Emily S Kappenman
Psychophysiology|April 9, 2010
The effects of electrode impedance on data quality and statistical significance in ERP recordingsEmily S Kappenman, Steven J Luck
Schizophrenia Bulletin|November 15, 2011
Manipulation of orthogonal neural systems together in electrophysiological recordings: the MONSTER approach to simultaneous assessment of multiple neurocognitive dimensionsEmily S Kappenman, Steven J Luck
Social Cognitive and Affective Neuroscience|July 27, 2014
Electrocortical evidence for rapid allocation of attention to threat in the dot-probe taskEmily S Kappenman, Annmarie MacNamara, Greg Hajcak Proudfit
Psychophysiology|December 22, 2016
Assessing the internal consistency of the event-related potential: An example analysisNina N Thigpen, Emily S Kappenman, Andreas Keil
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|February 5, 2018
High Temporal Resolution Measurement of Cognitive and Affective Processes in Psychopathology: What Electroencephalography and Magnetoencephalography Can Tell Us About Mental IllnessMolly A Erickson, Emily S Kappenman, Steven J Luck
Journal of Experimental Psychology. Learning, Memory, and Cognition|October 27, 2005
Eye gaze and individual differences consistent with learned attention in associative blocking and highlightingJohn K Kruschke, Emily S Kappenman, William P Hetrick
Pageof 5