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Data points were fitted using the Boltzmann function.
The voltage-dependence of activation was analyzed using the Boltzmann function: Y = Ymax/{1+e (V 0.5-V/k)}, where V0.5 is the voltage of half-maximal activation and k is the slope factor [45]. Pooled data are presented as mean±SEM.
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This has been done using the Boltzmann transform and by measuring the front position as a function of time which produces an average mutual diffusion coefficient.
Individual cell plots were fitted using the Boltzmann equation.
We use the position distribution to determine the potential profile u(x) by using the Boltzmann distribution (see Methods).
The resulting values for conductance were normalized to the peak conductance and fitted using the Boltzmann equation.
We formulate the distribution of sequences for a structure using the Boltzmann distribution over their free energies.
Using the Boltzmann-Hamel equations we develop a control oriented dynamic model for the roller-racer.
Later, the Boltzmann function was used in nonlinear cochlear models by many researchers [ 72, 171], since it is similar to measured input-output characteristics of OHCs in isolation [ 234, 235].
The phase transitions were determined by using two methods: the first one was based on the first derivative of the Boltzmann function and the second one employed tangent lines of sigmoidal, aforementioned dependencies.
These current amplitudes were used to construct steady-state activation curves, which showed a typical S-shaped dependence on voltage and were fitted to the Boltzmann function.
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