Results 71 to 80 of about 6,404,452 (245)

Statistics of gradient directions in natural images. [PDF]

open access: yes, 2007
Interest in finding statistical regularities in natural images has been growing since the advent of information theory and the advancement of the efficient coding hypothesis that the human visual system is optimised to encode natural visual stimuli.
Nasrallah, A.J.   +1 more
core  

Upadacitinib Restrains the Pathogenic Fitness of CD4+ T Cells and Aberrant B Cell Programming in Optic Neuritis

open access: yesAdvanced Science, EarlyView.
Single‐cell profiling and functional perturbation reveal coordinated JAK1‐pSTAT3 downstream programs in optic neuritis, including MCL1‐dependent fitness of pathogenic CD4+ Tem cells and glycolysis‐linked, cholesterol‐sensitive B‐cell responses associated with RORA. Upadacitinib disrupts this reciprocal T‐B‐cell circuit and alleviates neuroinflammation,
Gengchen Jiang   +12 more
wiley   +1 more source

Low-level contrast statistics are diagnostic of invariance of natural textures.

open access: yesFrontiers in Computational Neuroscience, 2012
Texture may provide important clues for real world object and scene perception. For these clues to be reliable, they should ideally be invariant to common viewing variations such as changes in illumination and orientation.
Iris I. A. Groen   +4 more
doaj   +1 more source

From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category

open access: yes, 2013
The visual system processes natural scenes in a split second. Part of this process is the extraction of "gist," a global first impression. It is unclear, however, how the human visual system computes this information.
Prins, H.   +4 more
core   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

open access: yesAdvanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang   +5 more
wiley   +1 more source

Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.

open access: yesPLoS ONE, 2013
Within the range of images that we might categorize as a "beach", for example, some will be more representative of that category than others. Here we first confirmed that humans could categorize "good" exemplars better than "bad" exemplars of six scene ...
Ana Torralbo   +5 more
doaj   +1 more source

E-yearbook of Food and Natural Resource Statistics for 2018 [PDF]

open access: yes, 2019
This is the fourth time the E-yearbook of Food and Natural Resource Statistics of the Natural Resources Institute Finland (Luke) has been published.

core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Horizontal saccade bias results from combination of saliency anisotropies and egocentric biases

open access: yesScientific Reports
Saccadic eye movements shift the fovea between objects of interest to build a visual percept. In humans, saccades are predominantly executed along the cardinal axes, particularly in the horizontal direction. It is unknown how this horizontal saccade bias
Stephanie M. Reeves, Jorge Otero-Millan
doaj   +1 more source

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