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2-dimensional fast fourier transform (fft)  (MathWorks Inc)


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    MathWorks Inc 2-dimensional fast fourier transform (fft)
    2 Dimensional Fast Fourier Transform (Fft), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/2-dimensional fast fourier transform (fft)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    2-dimensional fast fourier transform (fft) - by Bioz Stars, 2026-03
    90/100 stars

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    2-dimensional fast fourier transform (fft)  (MathWorks Inc)
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    Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
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    2-dimensional fft  (Takeda)
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    Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) <t>FFT</t> (MATLAB <t>fft2)</t> of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.
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    Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.

    Journal: Journal of Neurophysiology

    Article Title: Contrast sensitivity, V1 neural activity, and natural vision

    doi: 10.1152/jn.00635.2016

    Figure Lengend Snippet: Background image power spectra, RF locations, and adaptation. A: the locations of RFs are indicated by 1° yellow circles (the average RF size) at their locations on the background image during fixation 1. Adaptation appears to have occurred in the RFs on the first fixation and been over into the second fixation. The red square indicates the aggregate RF area for all neurons studied. In addition to the RFs, we show white circles to indicate the corresponding upper visual field locations where stimuli would appear on the second fixation; these were included for the 2AFC behavioral task, and presumably, adaptation occurred at these sites as well. B, left: a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border). The red boxes show the aggregate RF area on the background image and its 2-D FFT. In both the overall image and the aggregate RF area, low spatial frequencies were dominant. C: radially averaged power spectra are shown for three 1° background-image RF areas used in the contrast sensitivity task (cyc/deg, cycles/degree). We examined the power spectra of all background-image RF areas and found them to be similarly dominated by lower spatial frequencies.

    Article Snippet: B , left : a 2-dimensional (2-D) FFT (MATLAB fft2) of the entire background image (blue border).

    Techniques: