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sigmoid matlab fit function (MathWorks Inc)

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MathWorks Inc sigmoid matlab fit function
Sigmoid Matlab Fit Function, 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/product/sigmoidal+fit+function/pmc10842629-511-3-4
Average 90 stars, based on 1 article reviews

sigmoid matlab fit function - by Bioz Stars, 2026-11

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Article Title: Human Envelope Following Responses to Amplitude Modulation: Effects of Aging and Modulation Depth
Article Snippet: In order to quantify the differences in shape of the EFR as a function of AM depth we modeled individual EFR amplitude versus AM depth results in a customized Matlab sigmoidal function fit using the following formula: EFR magnitude = Noise + A ( 1 + e − ( A M depth − x 50 ) B ) The following parameters were fit for each EFR versus AM depth recording: Noise and A were the upper and lower limits of the function.

Article Title: Attentional Modulation of Behavioral Performance and Neuronal Responses in Middle Temporal and Ventral Intraparietal Areas of Macaque Monkey
Article Snippet: Sigmoidal curves were fit to behavioral performance using a nonlinear fitting function in MATLAB (The Mathworks).

Article Title: A simple algorithm for objective threshold determination of auditory brainstem responses
Article Snippet: A sigmoidal function using MATLAB Central File Exchange function sigm_fit : y = a + ( b − a ) 1 + 10 d ( c − x ) (1) x = lower level of correlated pair (in dB SPL); y = correlation coefficient; a = minimum value; b = maximum value; c = x value at midpoint; d = slope A two-term power law model using MATLAB function fit and ‘power2‘ fit type: y = a x b + c (2) x = lower level of correlated pair (in dB SPL); y = correlation coefficient; a = coefficient; b = exponent; c = constant Both functions were fit to correlation-coefficient vs. level data for each ABR run, from which threshold could be interpolated or extrapolated at a selected ‘criterion’ value.

Article Title: Rapid and acute effects of estrogen on time perception in male and female rats.
Article Snippet: Each rat’s data were fit to a three-parameter sigmoidal function in MATLAB (Mathworks – Natick, MA, USA) using a maximum likelihood method.

Article Title: Modality differences in timing and temporal memory throughout the lifespan.
Article Snippet: The perception of time is heavily influenced by attention and memory, both of which change over the lifespan.. In the current study, children (8 yrs), young adults (18–25 yrs), and older adults (60–75 yrs) were tested on a duration bisection procedure using 3 and 6-s auditory and visual signals as anchor durations.. During test, participants were exposed to a range of intermediate durations, and the task was to indicate whether test durations were closer to the ‘‘short’’ or ‘‘long’’ anchor.

Article Title: Inhibition of Na + /H + exchanger modulates microglial activation and scar formation following microelectrode implantation.
Article Snippet: Following binning, the data was fit with a customdual sigmoidal function in MATLAB [49–51]: y(d) = a 1+ ed−d1/w1 + 1− a 1+ ed−d2/w2 (2) where a is amplitude, d1 and d2 are shoulder location (in μm), andw1 andw2 are shoulder width.

Article Title: pH-triggered disassembly in a caged protein complex.
Article Snippet: Self-assembling protein cage structures have many potential applications in nanotechnology, one of which is therapeutic delivery.. For intracellular targeting, pH-controlled disassembly of virus-like particles and release of their molecular cargo is particularly strategic.. We investigated the potential of using histidines for introducing pH-dependent disassembly in the E2 subunit of pyruvate dehydrogenase.

Article Title: A Miniaturized System for Rapid, Isothermal Detection of SARS-CoV-2 in Human and Environmental Samples.
Article Snippet: The arrayed data was fit to a sigmoidal curve by customizing MATLAB’s fittype function to the form of a sigmoid and using the least absolute residual robust (LAR) method built into MATLAB’s fit function.

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