Steven Zucker
David and Lucille Packard Professor of Computer Science and Professor of Biomedical EngineeringDownloadHi-Res Photo
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David and Lucille Packard Professor of Computer Science and Professor of Biomedical Engineering
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Medical Research Interests
Biomedical Engineering; Biomedical Research; Computers; Mathematical Computing; Mathematics; Neurophysiology; Neurosciences; Robotics
ORCID
0000-0002-2205-6895- View Lab Website
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Steven Zucker's published research.
Publications Timeline
A big-picture view of Steven Zucker's research output by year.
Ronald Coifman, PhD
6Publications
37Citations
Publications
2024
Population encoding of stimulus features along the visual hierarchy
Dyballa L, Rudzite A, Hoseini M, Thapa M, Stryker M, Field G, Zucker S. Population encoding of stimulus features along the visual hierarchy. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2317773121. PMID: 38227668, PMCID: PMC10823231, DOI: 10.1073/pnas.2317773121.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPartitioning feature spaceConvolutional neural networkNeural populationsDiverse visual featuresBattery of visual stimuliManifold embedding techniquesMachine learning approachFeature spaceEncoded featuresVisual featuresNeural networkProperties of individual neuronsPrimary visual cortexPopulation encodingEmbedding techniqueLearning approachPartitioning featuresVisual hierarchyContinuous representationV1 populationsStimulus spaceMulti-electrode arrayGroups of neuronsIndividual neuronsVisual cortexGood continuation in 3D: the neurogeometry of stereo vision
Bolelli M, Citti G, Sarti A, Zucker S. Good continuation in 3D: the neurogeometry of stereo vision. Frontiers In Computer Science 2024, 5: 1142621. PMID: 36713236, PMCID: PMC9882572, DOI: 10.3389/fcomp.2023.1142621.Peer-Reviewed Original Research
2013
Predicting the effects of illumination in shape from shading
Fleming R, Vergne R, Zucker S. Predicting the effects of illumination in shape from shading. Journal Of Vision 2013, 13: 611-611. DOI: 10.1167/13.9.611.Peer-Reviewed Original Research
2005
Geometric diffusions for the analysis of data from sensor networks
Coifman RR, Maggioni M, Zucker SW, Kevrekidis IG. Geometric diffusions for the analysis of data from sensor networks. Current Opinion In Neurobiology 2005, 15: 576-584. PMID: 16150587, DOI: 10.1016/j.conb.2005.08.012.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsSensor networksGeometric diffusionMathematical developmentComplex data setsHarmonic analysisNeural information processingActivity datasetsCertain analogyComputer modelingData setsInformation processingManifoldNetworkModelingGraphData analysisAlgorithmNew toolDatasetAnalysis of dataAnalogyField
2004
Hue geometry and horizontal connections
Ben-Shahar O, Zucker SW. Hue geometry and horizontal connections. Neural Networks 2004, 17: 753-771. PMID: 15288896, DOI: 10.1016/j.neunet.2004.03.011.Peer-Reviewed Original Research
1992
Connectionisn and the Computational Neurobiology of Curve Detection
Zucker S, Dobbins A, Iverson L. Connectionisn and the Computational Neurobiology of Curve Detection. 1992, 277-296. DOI: 10.1093/oso/9780195076653.003.0009.Peer-Reviewed Original ResearchConceptsCurve detectionComputational visionOrientation informationReceptive fieldsStereoscopic perceptionComputational neurobiologySame receptive fieldVisionAreas of visionFirst paradigmNearby curvesDetectionSimilar notionsRetinal samplingAbstract OneQuantizationParadigmEnd resultInformationExampleModem theory
Academic Achievements & Community Involvement
activity Computer Vision
ResearchDetails01/01/2007 - PresentCanada; ItalyAbstract/SynopsisProfessor Zucker has collaborations with international colleagues in the area of computer vision, in particular in the mathematical and computational description of visual shape.