Diane M. Beck
University of Illinois at Urbana–Champaign
97 Papers
188 Citations
Diane M. Beck is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Visual cortex & Stimulus (physiology). The author has an hindex of 35, co-authored 90 publications. Previous affiliations of Diane M. Beck include University of California, Berkeley & University College London.
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Papers
Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior
Iris I. A. Groen,Michelle R. Greene,Christopher Baldassano,Li Fei-Fei,Diane M. Beck,Chris I. Baker +5 more
TL;DR: This paper assessed the contributions of multiple properties to scene representation by partitioning the variance explained in human behavioral and brain measurements by three feature models whose inter-correlations were minimized a priori through stimulus preselection.
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Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
TL;DR: This work proposes a locally optimized registration method that directly predicts the location of a seed ROI on a separate target cortical sheet by maximizing the functional correlation between their time courses, while simultaneously allowing for non-smooth local deformations in region topology.
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Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
TL;DR: In this article, a locally optimized registration method was proposed to directly predict the location of a seed ROI on a separate target cortical sheet by maximizing the functional correlation between their time courses, while simultaneously allowing for non-smooth local deformations in region topology.
Refining The Resource Model: Cortical Competition Could Explain Hemifield Independence
John Clevenger,Diane M. Beck +1 more
TL;DR: It is found that subjects were faster to find a target when the target was alone in the hemifield than when it shared the hem ifield with non-targets, but only when overall display density was high, suggesting that hemif yield independence might be caused by a lessening of local competitive interactions in visual cortex.
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