matlab command randi Search Results


90
MathWorks Inc rand matlab command
Rand Matlab Command, 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/rand matlab command/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
rand matlab command - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc matlab command rand(50
Matlab Command Rand(50, 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/matlab command rand(50/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab command rand(50 - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc gaussian white noise
Gaussian White Noise, 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/gaussian white noise/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
gaussian white noise - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc random number generator
Random Number Generator, 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/random number generator/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
random number generator - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

93
MathWorks Inc matlab command 'rand
Matlab Command 'rand, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab command 'rand/product/MathWorks Inc
Average 93 stars, based on 1 article reviews
matlab command 'rand - by Bioz Stars, 2026-03
93/100 stars
  Buy from Supplier

90
MathWorks Inc two-dimensional gaussian noise made with the randn command
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Two Dimensional Gaussian Noise Made With The Randn Command, 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/two-dimensional gaussian noise made with the randn command/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
two-dimensional gaussian noise made with the randn command - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc rand command
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Rand Command, 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/rand command/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
rand command - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc matlab r2014a
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Matlab R2014a, 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/matlab r2014a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2014a - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc standard matlab® command randn
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Standard Matlab® Command Randn, 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/standard matlab® command randn/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
standard matlab® command randn - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc randn(n1, r, n3)
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Randn(N1, R, N3), 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/randn(n1, r, n3)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
randn(n1, r, n3) - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
MathWorks Inc matlab command randi
( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
Matlab Command Randi, 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/matlab command randi/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab command randi - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.

Journal: Scientific Reports

Article Title: Similar contrast sensitivity functions measured using psychophysics and optokinetic nystagmus

doi: 10.1038/srep34514

Figure Lengend Snippet: ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.

Article Snippet: Patterns were two-dimensional Gaussian noise (made with the randn command in Matlab), filtered to be isotropic and spatial-frequency (SF) band-pass ( ).

Techniques: Derivative Assay