Faculty

Institution

Unit

Venue

David Brainard

RRL Professor of Psychology Emeritus

University of Pennsylvania

Affiliations

School of Arts & Sciences

Psychology

David Brainard is currently serving as a Psychology RRL Professor of Psychology Emeritus at University of Pennsylvania.

Honors

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Experiences

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Education

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David Brainard

University of Pennsylvania

RRL Professor of Psychology Emeritus

You can click a keyword to filter the displayed items

vision research neuroscience visual perception ophthalmology visual science computer vision cognitive science cognitive neuroscience photonics color constancy machine learning retina computer science optical metrology image analysis pattern recognition visibility optical engineering computational neuroscience mammalian biology photometry (optics) colorimetry visual processing neural science color appearance illumination discrimination bayesian analysis machine vision optical remote sensing illumination modeling 3d vision lightness perception fixational eye movements bayesian model perceived lightness surface slant lightness constancy adaptation hearing research avian biology biomedical imaging animal behavior optical image recognition optical spectroscopy brain science pigments sensor responses color perception surface reflectance applied psychology psychological science plo biology animal cognition surface characterization ganglion cell cellular neurobiology colorization medical image analysis bayesian inference color reproduction spatial cognition psychophysics brain stimulation human eye natural images human color constancy scene complexity spatial contrast sensitivity human-computer interaction mammalogy evolutionary anthropology computational anatomy human cognition interferometry demosaicing optical testing bio-inspired computation brain modeling behavioral neuroscience

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning Models for Lightness Constancy Can Exploit Both Natural Lighting Cues and Rendering Artifacts.. Journal of Vision (2024)

Alban FlachotJaykishan PatelMarcus A. BrubakerThomas S.A. WallisDavid H. BrainardRichard F. Murray

deep learning modelsvisual perceptiondeep learningnatural lighting cuesvision researchlightness constancy

Deriving the Cone Fundamentals: A Subspace Intersection Method. Proceedings of the Royal Society B Biological Sciences (2024)

Brian A. WandellThomas GoossensDavid H. Brainard

biophysicssubspace intersection methodcone fundamentalsneuroscience

History Constrains the Evolution of Efficient Color Naming, Enabling Historical Inference. Proceedings of the National Academy of Sciences (2024)

Colin R. TwomeyDavid H. BrainardJoshua B. Plotkin

historyhistorical inferenceknowledge representation and reasoningevolutionary biologypsychology

Limits on Human Contrast Sensitivity Imposed by the Initial Visual Encoding. Journal of Vision (2024)

Fangfang HongNicolas P. CottarisDavid H. Brainard

visual perceptionvisual processinginitial visual encodingvision researchhuman contrast sensitivitypsychologyvisual systemvisual science

Midget Retinal Ganglion Cell Surrounds in Macaque: Cone-Selective or Not?. Journal of Vision (2024)

Nicolas CottarisBrian WandellDavid Brainard

retinal ganglion cellvisual perceptionretinaganglion cellvision researchvisual systemophthalmologyvisual science

Optimized Linear Measurements for Inverse Problems Using Diffusion-Based Image Generation. arXiv (Cornell University) (2024)

Zhang, Ling-QiKadkhodaie, ZahraSimoncelli, Eero P.Brainard, David H.

mathematical optimizationdiffusion-based image generationapplied mathematicsinverse problems

Orthogonal Neural Representations Support Perceptual Judgements of Natural Stimuli. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Ramanujan SrinathAmy M. NiClaire MarucciMarlene R. CohenDavid H. Brainard

neural scienceorthogonal neural representationscognitive neuroscienceneuroscienceperceptual judgementsnatural stimulicognitive sciencecomputational neurosciencebehavioral sciences

Temporal Dynamics of Color Processing Measured Using a Continuous Tracking Task. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Michael A. BarnettBenjamin M. ChinGeoffrey K. AguirreJohannes BurgeDavid H. Brainard

biophysicscomputer visionneurosciencecontinuous tracking taskcolor processingbiology

Theoretical Impact of Chromatic Aberration Correction on Visual Acuity. Biomedical Optics Express (2024)

Derek NankivilNicolas P. CottarisDavid H. Brainard

biophysicsvisual perceptionvisual acuitycognitive neuroscienceneurosciencevision researchchromatic aberration correctiontheoretical impactophthalmology

A Deep Convolutional Neural Network Trained to Infer Surface Reflectance is Deceived by Mid-Level Lightness Illusions. Journal of Vision (2023)

Jaykishan PatelAlban FlachotJavier Vazquez-CorralDavid H. BrainardThomas S. A. WallisMarcus A. BrubakerRichard F. Murray

computer visiondeep learningmid-level lightness illusionsvision researchneurosciencecognitive sciencesurface reflectance

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David Brainard

RRL Professor of Psychology Emeritus

University of Pennsylvania

Affiliations

School of Arts & Sciences

Psychology

David Brainard is currently serving as a Psychology RRL Professor of Psychology Emeritus at University of Pennsylvania.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Brainard

University of Pennsylvania

RRL Professor of Psychology Emeritus

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning Models for Lightness Constancy Can Exploit Both Natural Lighting Cues and Rendering Artifacts.. Journal of Vision (2024)

Alban FlachotJaykishan PatelMarcus A. BrubakerThomas S.A. WallisDavid H. BrainardRichard F. Murray

deep learning modelsvisual perceptiondeep learningnatural lighting cuesvision researchlightness constancy

Deriving the Cone Fundamentals: A Subspace Intersection Method. Proceedings of the Royal Society B Biological Sciences (2024)

Brian A. WandellThomas GoossensDavid H. Brainard

biophysicssubspace intersection methodcone fundamentalsneuroscience

History Constrains the Evolution of Efficient Color Naming, Enabling Historical Inference. Proceedings of the National Academy of Sciences (2024)

Colin R. TwomeyDavid H. BrainardJoshua B. Plotkin

historyhistorical inferenceknowledge representation and reasoningevolutionary biologypsychology

Limits on Human Contrast Sensitivity Imposed by the Initial Visual Encoding. Journal of Vision (2024)

Fangfang HongNicolas P. CottarisDavid H. Brainard

visual perceptionvisual processinginitial visual encodingvision researchhuman contrast sensitivitypsychologyvisual systemvisual science

Midget Retinal Ganglion Cell Surrounds in Macaque: Cone-Selective or Not?. Journal of Vision (2024)

Nicolas CottarisBrian WandellDavid Brainard

retinal ganglion cellvisual perceptionretinaganglion cellvision researchvisual systemophthalmologyvisual science

Optimized Linear Measurements for Inverse Problems Using Diffusion-Based Image Generation. arXiv (Cornell University) (2024)

Zhang, Ling-QiKadkhodaie, ZahraSimoncelli, Eero P.Brainard, David H.

mathematical optimizationdiffusion-based image generationapplied mathematicsinverse problems

Orthogonal Neural Representations Support Perceptual Judgements of Natural Stimuli. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Ramanujan SrinathAmy M. NiClaire MarucciMarlene R. CohenDavid H. Brainard

neural scienceorthogonal neural representationscognitive neuroscienceneuroscienceperceptual judgementsnatural stimulicognitive sciencecomputational neurosciencebehavioral sciences

Temporal Dynamics of Color Processing Measured Using a Continuous Tracking Task. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Michael A. BarnettBenjamin M. ChinGeoffrey K. AguirreJohannes BurgeDavid H. Brainard

biophysicscomputer visionneurosciencecontinuous tracking taskcolor processingbiology

Theoretical Impact of Chromatic Aberration Correction on Visual Acuity. Biomedical Optics Express (2024)

Derek NankivilNicolas P. CottarisDavid H. Brainard

biophysicsvisual perceptionvisual acuitycognitive neuroscienceneurosciencevision researchchromatic aberration correctiontheoretical impactophthalmology

A Deep Convolutional Neural Network Trained to Infer Surface Reflectance is Deceived by Mid-Level Lightness Illusions. Journal of Vision (2023)

Jaykishan PatelAlban FlachotJavier Vazquez-CorralDavid H. BrainardThomas S. A. WallisMarcus A. BrubakerRichard F. Murray

computer visiondeep learningmid-level lightness illusionsvision researchneurosciencecognitive sciencesurface reflectance

1
2
3
4
5
28
10 / page

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Similar Faculty Members

Wilson Geisler

Institution

University of Texas at Austin

visual perception

visual processing

Joel Pokorny

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University of Chicago

visual perception

vision research

Geoffrey Karl Aguirre

Institution

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visual ability

brain imaging

Larry N. Thibos

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ophthalmology

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Jonathan Winawer

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limit visual perception

visual pathways

Michael S Landy

Institution

New York University

perception system

texture (visual arts)

Brian A. Wandell

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neuroscience

cognitive neuroscience

Peter Bex

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Northeastern University

ophthalmology

visual system

Michael Webster

Institution

University of Nevada, Reno

visual perception

visual adaptation

Konrad Kording

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causality

causal reasoning