Grating Pattern Analysis
Grating Pattern Analysis - Related Videos
08:48
Writing Bragg Gratings in Multicore Fibers
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Cited by 3 •
2016
We describe a technique for inscribing identical fiber Bragg gratings into each core of a multicore fiber. This is achieved by introducing an additional surface into the optical path to mitigate lensing by the curved surface of the fiber cladding.
10:39
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Cited by 10 •
2016
The measurement protocol and data analysis procedure are given for obtaining transverse coherence of a synchrotron radiation X-ray source along four directions simultaneously using a single 2-D checkerboard phase grating. This simple technique can be applied for complete transverse coherence characterization of X-ray sources and X-ray optics.
13:51
Cross-Modal Multivariate Pattern Analysis
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Cited by 5 •
2011
Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.
11:46
Decoding Auditory Imagery with Multivoxel Pattern Analysis
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Imagine the sound of a bell ringing. What is happening in the brain when we conjure up a sound like this in the "mind's ear?" There is growing evidence that the brain uses the same mechanisms for imagination that it uses for perception.1 For example, when imagining visual images, the visual cortex becomes activated, and when imagining sounds, the auditory cortex is engaged. However, to what extent are...
12:08
Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System
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2015
The fabrication of high contrast gratings as the parallel spectrum splitting dispersive element in a concentrated photovoltaic system is demonstrated. Fabrication processes including nanoimprint lithography, TiO2 sputtering and reactive ion etching are described. Reflectance measurement results are used to characterize the optical performance.
FAQs
Orientation tests whether a biological visual system responds differently to patterns aligned in different directions, while spatial frequency changes the scale of the recurring light-dark structure. Comparing responses across these conditions helps identify preferred stimulus features and characterize how retinal cells, neurons, or whole organisms represent patterned visual information.
Contrast changes the strength of the difference between light and dark regions, allowing researchers to examine sensitivity to pattern visibility. Motion introduces a temporal component that can expose responses to moving stimuli. Together, these variables help distinguish which stimulus properties influence behavioral or neural activity and whether selectivity extends beyond stationary pattern structure.
Receptive-field properties describe the stimulus features that influence the activity of a visual cell or neuron. Measurements obtained with varying gratings can reveal selectivity for orientation, spatial frequency, contrast, or motion. This information helps connect responses at the level of individual retinal cells or neurons with broader sensory organization and visual performance.
A study can present gratings that differ in orientation, spatial frequency, contrast, or motion, then record either behavioral responses or neural responses. The selected variables should match the visual feature under investigation. Comparing response patterns across stimuli provides evidence about selectivity, sensory organization, and the conditions under which visual performance changes.
Response profiles can be compared across development, adaptation, disease, or altered neural function. A shift in sensitivity to particular orientations, spatial frequencies, contrast levels, or motion conditions may indicate a change in visual processing. Because the approach can assess behavioral or neural responses, it supports analysis from whole-organism performance to cellular mechanisms.
Cross-species comparisons can show whether visual systems share or differ in their sensitivity to recurring patterns. Comparisons between experimental conditions can likewise reveal changes in sensory organization or visual performance. Using the same stimulus dimensions, such as orientation, spatial frequency, contrast, or motion, provides a basis for interpreting differences in response selectivity.