<p>(<b>A</b> and <b>B</b>): Dependence of and with the tuning parameters for and . (<b>A</b>) was determined via association experiments with and . (<b>B</b>) was determined via dissociation experiments with . <b>C</b> and <b>D</b>): and as a function of the diffusion coefficient for , , , and . Dashed lines: linear fit for the dependence of the reaction rates with the diffusion coefficient , with slopes: , . In all four panels each outcome is the result of 4 independent simulations and has an error . In panels C and D, error bars are within the size of the symbols.</p
A Center positions of 20 repeated simulations of the reference network (U = 1, τx = 150ms) for 10 di...
<p>Dependence of diffusion and rate constant on temperature using Arrhenius rule for Fc (a) and Cc<s...
<p>Points mark the simulation results whereas lines correspond to fitted linear function From top t...
<p>The left panel shows estimated rate constants (yellow diamonds) for the 2D second order reaction ...
<p>Blue curves correspond to a concentration of 0.1<i>C<sub>R</sub></i>+0.0<i>C<sub>I</sub></i>, mag...
A) Schematic of the simple reaction-diffusion model in which a species X is activated by a rate kx(r...
Three methods for fitting the diffusion model (Ratcliff, 1978) to experimental data are examined. Se...
<p>(A) Concentration dependence of the observed rate for phase 1 of RF1 binding. Plots were fit to a...
<p>Values are shown based on binding to the four DNA concentrations spotted on the surface; errors r...
<p>(A-D) Scatter plots of posterior means for the two-state model with measurement noise, for trajec...
A: Scan of parameter space over the learning rate α and the movement rate m. The darker red colours ...
<p><b> and </b><b>, respectively (see text).</b> Data obtained by Monte Carlo simulations. <b>a.</b>...
<p><b>A</b> The coefficient of variation as a function of the number of adaptation channels for the...
General properties of the empirical analytical functions used to describe the effect of pressure on ...
A. Output vs contrast for the On (top) and Off (bottom) pathways of an On-Off amacrine cell, compare...
A Center positions of 20 repeated simulations of the reference network (U = 1, τx = 150ms) for 10 di...
<p>Dependence of diffusion and rate constant on temperature using Arrhenius rule for Fc (a) and Cc<s...
<p>Points mark the simulation results whereas lines correspond to fitted linear function From top t...
<p>The left panel shows estimated rate constants (yellow diamonds) for the 2D second order reaction ...
<p>Blue curves correspond to a concentration of 0.1<i>C<sub>R</sub></i>+0.0<i>C<sub>I</sub></i>, mag...
A) Schematic of the simple reaction-diffusion model in which a species X is activated by a rate kx(r...
Three methods for fitting the diffusion model (Ratcliff, 1978) to experimental data are examined. Se...
<p>(A) Concentration dependence of the observed rate for phase 1 of RF1 binding. Plots were fit to a...
<p>Values are shown based on binding to the four DNA concentrations spotted on the surface; errors r...
<p>(A-D) Scatter plots of posterior means for the two-state model with measurement noise, for trajec...
A: Scan of parameter space over the learning rate α and the movement rate m. The darker red colours ...
<p><b> and </b><b>, respectively (see text).</b> Data obtained by Monte Carlo simulations. <b>a.</b>...
<p><b>A</b> The coefficient of variation as a function of the number of adaptation channels for the...
General properties of the empirical analytical functions used to describe the effect of pressure on ...
A. Output vs contrast for the On (top) and Off (bottom) pathways of an On-Off amacrine cell, compare...
A Center positions of 20 repeated simulations of the reference network (U = 1, τx = 150ms) for 10 di...
<p>Dependence of diffusion and rate constant on temperature using Arrhenius rule for Fc (a) and Cc<s...
<p>Points mark the simulation results whereas lines correspond to fitted linear function From top t...