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Vision Sciences Society Annual Meeting Abstract September 2024

Comparing apples to oranges to bananas: A big data approach to understanding the joint influences of stimulus properties, trial history, and individual differences

Audrey Siqi-Liu; Emma M. Siritzky; Chloe Callahan-Flintoft; Justin N. Grady; Kelvin S. Oie; Stephen R. Mitroff; Dwight J. Kravitz

Journal of Vision. 2024; 24(10):577. https://doi.org/10.1167/jov.24.10.577

Vision Sciences Society Annual Meeting Abstract September 2024

Modeling attentional deployment in an immersive environment using a foraging task in VR

Chloe Callahan-Flintoft; Joyce Tam

Journal of Vision. 2024; 24(10):1468. https://doi.org/10.1167/jov.24.10.1468

Vision Sciences Society Annual Meeting Abstract September 2024

A high fidelity quantification of the time course of learning consolidation from a massive visual search dataset

Patrick Cox; Chloe Callahan- Flintoft; Michelle Kramer; Stephen Mitroff; Dwight Kravitz

Journal of Vision. 2024; 24(10):1453. https://doi.org/10.1167/jov.24.10.1453

Vision Sciences Society Annual Meeting Abstract September 2024

Exploring Dynamics of Attention in a Virtual Reality Foraging Task: Effects of Target Similarity, Inter-Target Spacing, and Time Pressure

Anna Madison; Chloe Callahan-Flintoft; Anthony Ries

Journal of Vision. 2024; 24(10):1368. https://doi.org/10.1167/jov.24.10.1368

Vision Sciences Society Annual Meeting Abstract August 2023

Free gaze: co-recording of eye and head tracking with EEG to understand unconstrained vision

Anna Madison; Chloe Callahan-Flintoft; Kennedy Nevling; Ashley Weidenbach; Haiden Moody; Anthony Ries

Journal of Vision. 2023; 23(9):5935. https://doi.org/10.1167/jov.23.9.5935

Vision Sciences Society Annual Meeting Abstract August 2023

Super-additive associative learning benefit for repeated task-relevant and task-irrelevant elements in visual search

Emma M. Siritzky; Samoni Nag; Chloe Callahan-Flintoft; Stephen R. Mitroff; Dwight J. Kravitz

Journal of Vision. 2023; 23(9):5865. https://doi.org/10.1167/jov.23.9.5865

Vision Sciences Society Annual Meeting Abstract December 2022

Visual orienting to beyond field of view targets in 3D space: Effects of cue modality, eccentricity, and distractor presence

Ryan Pfaffenbichler; Andreas Garcia; Anna Madison; Chloe Callahan-Flintoft; Christian Barentine; Anthony Ries

Journal of Vision. 2022; 22(14):3626. https://doi.org/10.1167/jov.22.14.3626

Vision Sciences Society Annual Meeting Abstract December 2022

Associative binding occurs for both task-relevant and task-irrelevant features in visual search

Emma M. Siritzky; Samoni Nag; Chloe Callahan-Flintoft; Stephen R. Mitroff; Dwight J. Kravitz

Journal of Vision. 2022; 22(14):3959. https://doi.org/10.1167/jov.22.14.3959

Vision Sciences Society Annual Meeting Abstract December 2022

Leveraging big data to disentangle effects of distractor interference and improve prediction of visual search performance

Chloe Callahan-Flintoft; Samoni Nag; Patrick H. Cox; Emma M. Siritzky; Kelvin S. Oie; Dwight J. Kravitz; Stephen R. Mitroff

Journal of Vision. 2022; 22(14):4345. https://doi.org/10.1167/jov.22.14.4345

Article July 2020

Abrupt darkening under high dynamic range (HDR) luminance invokes facilitation for high-contrast targets and grouping by luminance similarity

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Chou P. Hung; Chloe Callahan-Flintoft; Paul D. Fedele; Kim F. Fluitt; Onyekachi Odoemene; Anthony J. Walker; Andre V. Harrison; Barry D. Vaughan; Matthew S. Jaswa; Min Wei
TAGS: facilitation, gata3 gene, homologous recombinational dna repair, luminance, dynamic range
Journal of Vision. 2020; 20(7):9. https://doi.org/10.1167/jov.20.7.9

Vision Sciences Society Annual Meeting Abstract September 2019

A delay in sampling information from temporally autocorrelated visual stimuli

Chloe Callahan-Flintoft; Alex O Holcombe; Brad Wyble

Journal of Vision. 2019; 19(10):53b. https://doi.org/10.1167/19.10.53b

Vision Sciences Society Annual Meeting Abstract September 2019

Rapid covert visual attention to conceptual targets

Brad Wyble; Michael Hess; Chloe Callahan-Flintoft; Charles Folk

Journal of Vision. 2019; 19(10):101a. https://doi.org/10.1167/19.10.101a

Vision Sciences Society Annual Meeting Abstract September 2018

Modeling the neural underpinnings of attentional suppression as constrained by EEG and behavioral data

Chloe Callahan-Flintoft; Brad Wyble

Journal of Vision. 2018; 18(10):527. https://doi.org/10.1167/18.10.527

Vision Sciences Society Annual Meeting Abstract August 2017

A system level model of visual attention: Targets and distractors are figments of your experimental design

Brad Wyble; Chloe Callahan-Flintoft

Journal of Vision. 2017; 17(10):960. https://doi.org/10.1167/17.10.960

Vision Sciences Society Annual Meeting Abstract August 2017

Measuring the speed of attentional selection for two features concurrently from a single object reveals a foveal speed advantage for color

Chloe Callahan-Flintoft; Brad Wyble

Journal of Vision. 2017; 17(10):1335. https://doi.org/10.1167/17.10.1335

Vision Sciences Society Annual Meeting Abstract September 2016

Measuring attentional deployment and sampling of multiple dynamic features within the same object

Chloe Callahan-Flintoft; Brad Wyble

Journal of Vision. 2016; 16(12):698. https://doi.org/10.1167/16.12.698

Vision Sciences Society Annual Meeting Abstract September 2016

When does visual attention need to be retargeted? A study of the neural correlates of attentional deployment to two sequential targets

Brad Wyble; Chloe Callahan-Flintoft

Journal of Vision. 2016; 16(12):1271. https://doi.org/10.1167/16.12.1271

Vision Sciences Society Annual Meeting Abstract September 2015

Using the N2pc to compare the timing of attentional shifts to categorical and featural targets.

Chloe Callahan-Flintoft; Brad Wyble

Journal of Vision. 2015; 15(12):231. https://doi.org/10.1167/15.12.231

Vision Sciences Society Annual Meeting Abstract September 2015

Understanding the PD and the N2pc: modeling the neural mechanisms underlying spatial attention shifts

Brad Wyble; Hui Chen; Joseph Stucynski; Chloe Callahan-Flintoft; Mingxuan Tan

Journal of Vision. 2015; 15(12):1250. https://doi.org/10.1167/15.12.1250

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Comparing apples to oranges to bananas: A big data approach to understanding the joint influences of stimulus properties, trial history, and individual differences

Modeling attentional deployment in an immersive environment using a foraging task in VR

A high fidelity quantification of the time course of learning consolidation from a massive visual search dataset

Exploring Dynamics of Attention in a Virtual Reality Foraging Task: Effects of Target Similarity, Inter-Target Spacing, and Time Pressure

Free gaze: co-recording of eye and head tracking with EEG to understand unconstrained vision

Super-additive associative learning benefit for repeated task-relevant and task-irrelevant elements in visual search

Visual orienting to beyond field of view targets in 3D space: Effects of cue modality, eccentricity, and distractor presence

Associative binding occurs for both task-relevant and task-irrelevant features in visual search

Leveraging big data to disentangle effects of distractor interference and improve prediction of visual search performance

Abrupt darkening under high dynamic range (HDR) luminance invokes facilitation for high-contrast targets and grouping by luminance similarity

A delay in sampling information from temporally autocorrelated visual stimuli

Rapid covert visual attention to conceptual targets

Modeling the neural underpinnings of attentional suppression as constrained by EEG and behavioral data

A system level model of visual attention: Targets and distractors are figments of your experimental design

Measuring the speed of attentional selection for two features concurrently from a single object reveals a foveal speed advantage for color

Measuring attentional deployment and sampling of multiple dynamic features within the same object

When does visual attention need to be retargeted? A study of the neural correlates of attentional deployment to two sequential targets

Using the N2pc to compare the timing of attentional shifts to categorical and featural targets.

Understanding the PD and the N2pc: modeling the neural mechanisms underlying spatial attention shifts

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