G
Garrett B. Stanley
Researcher at Georgia Institute of Technology
Publications - 104
Citations - 6427
Garrett B. Stanley is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Sensory system & Stimulus (physiology). The author has an hindex of 31, co-authored 101 publications receiving 5446 citations. Previous affiliations of Garrett B. Stanley include Harvard University & Emory University.
Papers
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Book ChapterDOI
A naturalistic open source movie for optical flow evaluation
TL;DR: A new optical flow data set derived from the open source 3D animated short film Sintel is introduced, which has important features not present in the popular Middlebury flow evaluation: long sequences, large motions, specular reflections, motion blur, defocus blur, and atmospheric effects.
Journal ArticleDOI
Temporal precision in the neural code and the timescales of natural vision
Daniel A. Butts,Daniel A. Butts,Chong Weng,Jianzhong Jin,Chun-I Yeh,Chun-I Yeh,Nicholas A. Lesica,Jose-Manuel Alonso,Garrett B. Stanley +8 more
TL;DR: It is demonstrated that the relevant timescale of neuronal spike trains depends on the frequency content of the visual stimulus, and that ‘relative’, not absolute, precision is maintained both during spatially uniform white-noise visual stimuli and naturalistic movies.
Journal ArticleDOI
Hippocampal Plasticity across Multiple Days of Exposure to Novel Environments
TL;DR: The results show that the hippocampus can form new spatial representations quickly but that stable hippocampal representations are not sufficient for a place to be treated as familiar.
Journal ArticleDOI
Visual adaptation: neural, psychological and computational aspects.
Colin W. G. Clifford,Michael A. Webster,Garrett B. Stanley,Alan A. Stocker,Adam Kohn,Tatyana O. Sharpee,Odelia Schwartz +6 more
TL;DR: Functional ideas about adaptation in the light of recent data are discussed, exciting directions for future research are identified and new statistical and computational models are identified.
Journal ArticleDOI
Reconstruction of Natural Scenes from Ensemble Responses in the Lateral Geniculate Nucleus
TL;DR: A linear decoding technique is used to reconstruct spatiotemporal visual inputs from ensemble responses in the lateral geniculate nucleus of the cat to provide a basis for understanding ensemble coding in the early visual pathway.