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Optica Fall Vision Meeting Abstract December 2023

Invited Session I: 30 years of normalization in the visual system: Exponentiation and normalization as mechanisms for efficient selection of sensory signals

Justin Gardner
TAGS: visual system
Journal of Vision. 2023; 23(15):6. https://doi.org/10.1167/jov.23.15.6

Optica Fall Vision Meeting Abstract December 2023

Poster Session I: Gain, not changes in spatial receptive field properties, improves task performance in a neural network attention model

Daniel Birman; Kai J Fox; Justin L Gardner
TAGS: attention, posters, task performance and analysis
Journal of Vision. 2023; 23(15):26. https://doi.org/10.1167/jov.23.15.26

Vision Sciences Society Annual Meeting Abstract August 2023

Covariance between similarly tuned populations in human visual cortex is model-dependent

Josh Wilson; Justin Gardner

Journal of Vision. 2023; 23(9):5802. https://doi.org/10.1167/jov.23.9.5802

Vision Sciences Society Annual Meeting Abstract December 2022

Sensory and motor sources of delay in visuomotor tracking: a model for continuous psychophysics

Joshua Ryu; Justin Gardner

Journal of Vision. 2022; 22(14):4396. https://doi.org/10.1167/jov.22.14.4396

Vision Sciences Society Annual Meeting Abstract December 2022

Human visual cortex as a texture basis set for object perception

Akshay Vivek Jagadeesh; Justin L Gardner

Journal of Vision. 2022; 22(14):3694. https://doi.org/10.1167/jov.22.14.3694

Vision Sciences Society Annual Meeting Abstract September 2021

Using neuroimaging to link cortical activity to human visual perception

Justin Gardner

Journal of Vision. 2021; 21(9):78. https://doi.org/10.1167/jov.21.9.78

Vision Sciences Society Annual Meeting Abstract September 2021

Behavioral benefits of spatial attention explained by multiplicative gain, not receptive field shifts, in a neural network model.

Kai Fox; Dan Birman; Justin Gardner

Journal of Vision. 2021; 21(9):1927. https://doi.org/10.1167/jov.21.9.1927

Vision Sciences Society Annual Meeting Abstract September 2021

Increasing neural network robustness improves match to V1 eigenspectrum and improves V1 predictivity

Nathan Kong; Justin Gardner; Anthony Norcia

Journal of Vision. 2021; 21(9):2332. https://doi.org/10.1167/jov.21.9.2332

Vision Sciences Society Annual Meeting Abstract September 2019

What Can Be Inferred About Neural Population Codes from Psychophysical and Neuroimaging Data?

Fabian Soto; Justin L. Gardner; Rosie Cowell; Kara Emery; Jason Hays; Fabian A. Soto

Journal of Vision. 2019; 19(10):6a. https://doi.org/10.1167/19.10.6a

Vision Sciences Society Annual Meeting Abstract September 2019

Inverted encoding models reconstruct the model response, not the stimulus

Justin L. Gardner; Taosheng Liu

Journal of Vision. 2019; 19(10):6b. https://doi.org/10.1167/19.10.6b

Vision Sciences Society Annual Meeting Abstract September 2019

Deep neural network features predict perceptual sensitivity and cortical responses to visual textures

Akshay V Jagadeesh; Justin L Gardner

Journal of Vision. 2019; 19(10):124b. https://doi.org/10.1167/19.10.124b

Vision Sciences Society Annual Meeting Abstract September 2019

Putting spatial and feature-based attention on a shared perceptual metric

Daniel Birman; Justin L Gardner

Journal of Vision. 2019; 19(10):269a. https://doi.org/10.1167/19.10.269a

Vision Sciences Society Annual Meeting Abstract September 2015

Independent control of cortical representations for expression and identity of dynamic faces

Katharina Dobs; Johannes Schultz; Isabelle Bülthoff; Justin Gardner

Journal of Vision. 2015; 15(12):684. https://doi.org/10.1167/15.12.684

Vision Sciences Society Annual Meeting Abstract September 2015

Linking brain activity to visual attentional behavior considering multiple spatial-scales of measurement

Justin Gardner

Journal of Vision. 2015; 15(12):1412. https://doi.org/10.1167/15.12.1412

Vision Sciences Society Annual Meeting Abstract August 2014

Spatial priority- and content-based attentional filtering disassociated along a posterior to anterior axis in visual cortex

Johan D Carlin; Justin L Gardner

Journal of Vision. 2014; 14(10):624. https://doi.org/10.1167/14.10.624

Research Article September 2010

Differential roles for frontal eye fields (FEFs) and intraparietal sulcus (IPS) in visual working memory and visual attention

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Shani Offen; Justin L. Gardner; Denis Schluppeck; David J. Heeger
TAGS: eye, functional magnetic resonance imaging, visual attention, visual working memory, memory, short-term, visual cortex, seizures, parietal lobe, attention, photic stimulation
Journal of Vision. 2010; 10(11):28. https://doi.org/10.1167/10.11.28

Vision Sciences Society Annual Meeting Abstract August 2010

Decoding feature-based attentional priority signals in human cortex

Taosheng Liu; Luke Hospadaruk; David Zhu; Justin Gardner

Journal of Vision. 2010; 10(7):107. https://doi.org/10.1167/10.7.107

Vision Sciences Society Annual Meeting Abstract August 2010

A neural pooling rule for attentional selection in human visual cortex

Franco Pestilli; Marisa Carrasco; David Heeger; Justin Gardner

Journal of Vision. 2010; 10(7):108. https://doi.org/10.1167/10.7.108

Vision Sciences Society Annual Meeting Abstract August 2009

Distinct roles for frontal and parietal cortex in visual working memory and attention

Shani Offen; Justin Gardner; Denis Schluppeck; David Heeger

Journal of Vision. 2009; 9(8):168. https://doi.org/10.1167/9.8.168

Vision Sciences Society Annual Meeting Abstract August 2009

Spatial attention reduces contrast adaptation

Franco Pestilli; Barbara Montagna; Justin Gardner; David Heeger; Marisa Carrasco

Journal of Vision. 2009; 9(8):219. https://doi.org/10.1167/9.8.219

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Invited Session I: 30 years of normalization in the visual system: Exponentiation and normalization as mechanisms for efficient selection of sensory signals

Poster Session I: Gain, not changes in spatial receptive field properties, improves task performance in a neural network attention model

Covariance between similarly tuned populations in human visual cortex is model-dependent

Sensory and motor sources of delay in visuomotor tracking: a model for continuous psychophysics

Human visual cortex as a texture basis set for object perception

Using neuroimaging to link cortical activity to human visual perception

Behavioral benefits of spatial attention explained by multiplicative gain, not receptive field shifts, in a neural network model.

Increasing neural network robustness improves match to V1 eigenspectrum and improves V1 predictivity

What Can Be Inferred About Neural Population Codes from Psychophysical and Neuroimaging Data?

Inverted encoding models reconstruct the model response, not the stimulus

Deep neural network features predict perceptual sensitivity and cortical responses to visual textures

Putting spatial and feature-based attention on a shared perceptual metric

Independent control of cortical representations for expression and identity of dynamic faces

Linking brain activity to visual attentional behavior considering multiple spatial-scales of measurement

Spatial priority- and content-based attentional filtering disassociated along a posterior to anterior axis in visual cortex

Differential roles for frontal eye fields (FEFs) and intraparietal sulcus (IPS) in visual working memory and visual attention

Decoding feature-based attentional priority signals in human cortex

A neural pooling rule for attentional selection in human visual cortex

Distinct roles for frontal and parietal cortex in visual working memory and attention

Spatial attention reduces contrast adaptation

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