Localizing subprocesses of visual search by correlating local brain activation in fMRI with response time model parameters.

Keywords

Visual search, Artificial intelligence, Perception, Focus (optics), Cognition

References

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Cited by

• This is your brain on interfaces: enhancing usability testing with functional near-infrared spectroscopyLeanne Hirshfield, Rebecca Gulotta, Stuart Hirshfield — 2011
• Exogenous attention can be counter-selective: onset cues disrupt sensitivity to color changesGisela Müller-Plath, Nils Klöckner — 2013
• The neural correlates of perceptual load induced attentional selection: an fMRI study.Ping Wei, André J. Szameitat, Hermann J. Müller — 2013
• Neural correlates of binding features within- or cross-dimensions in visual conjunction search: An fMRI studyPing Wei, Hermann J. Müller, Stefan Pollmann — 2011
• Deficits in Subprocesses of Visual Feature Search after Frontal, Parietal, and Temporal Brain Lesions—A Modeling ApproachGisela Müller-Plath, Derek V. M. Ott, Stefan Pollmann — 2010
• Physiological Indicators of Workload in a Remotely Piloted Aircraft SimulationMichael Hoepf, Matt Middendorf, Samantha L. Epling — 2015
• Eye movements and attention in visual feature search with graded target-distractor-similarityCarolin Wienrich, Uta Heße, Gisela Müller-Plath — 2009
• Workload-driven modulation of mixed-reality robot-human communicationLeanne Hirshfield, Tom Williams, Natalie Sommer — 2018
• Behavioural performance improvement in visuomotor learning correlates with functional and microstructural brain changesAbdulrahman Aloufi, Fiona J. Rowe, Georg Meyer — 2020
• Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the BrainLeanne Hirshfield, Christopher D. Wickens, Emily Doherty — 2023

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