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Diane M. Beck
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Diane M. Beck11 visible / 11 total nodes / 33 links

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Related contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalAuthorshipDiane M. BeckADiane M. BeckResearcherDissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networksWDissociating spatial fr...preprint / 2026Tianyu RenATianyu RenResearcherChengxiao WangAChengxiao WangResearcherLeyla IsikALeyla IsikResearcherZhenan ShaoAZhenan ShaoResearcherNeurons and CognitionTNeurons and Cognition1536 worksArtificial IntelligenceTArtificial Intelligence22915 worksVisual Noise from Natural Scene Statistics Reveals Human Scene Category RepresentationsWVisual Noise from Natur...preprint / 2014Locally-Optimized Inter-Subject Alignment of Functional Cortical RegionsWLocally-Optimized Inter...preprint / 2016Affordances Provide a Fundamental Categorization Principle for Visual ScenesWAffordances Provide a F...preprint / 2014
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Diane M. Beck

Researcher

PaperDissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networksAuthorship / preprint / 2026PersonTianyu RenCo-authorship / ResearcherPersonChengxiao WangCo-authorship / ResearcherPersonLeyla IsikCo-authorship / ResearcherPersonZhenan ShaoCo-authorship / ResearcherTopicNeurons and CognitionWorks on / 1536 worksTopicArtificial IntelligenceWorks on / 22915 worksPaperVisual Noise from Natural Scene Statistics Reveals Human Scene Category RepresentationsAuthorship / preprint / 2014

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