VDAC1 conductance is voltage-dependent, with the highest conductance obtained between –20 and +20 mV, and with decreased conductance at both high negative or positive potentials.
A second technique involves a more involved analysis of synaptic conductances obtained from synaptic IV relations.
Figure 1 illustrates three classes of the responses of the simplified model obtained by changing the maximal conductance g SI.
We systematically explored the parameter space of about 10.4 million simulated HCO instances and corresponding isolated neuron model simulations obtained by varying a set of selected parameters (maximal conductance of intrinsic and synaptic currents) in all combinations using a brute-force approach.
The conductance-voltage (G-V) curves for activation were generated from steady-state currents, converted to conductance, and then fitted by the Boltzmann function with the form as follows, G/Gmax = (1 + exp((V − V1/2)/κ))−1, where V1/2 is the voltage at which the conductance (G) is half the maximal conductance (Gmax) and κ is a factor affecting the steepness of the activation.
Particularly, we show the results when estimating (a) Calcium maximal conductance, (b) Potassium maximal conductance, (c) both Calcium and Potassium maximal conductances, (d) process noise variance, (e) measurement noise variance, and (f) Calcium and Potassium maximal conductances plus process noise variance.
While most genotypes showed maximal conductance at the middle positions of the root, five genotypes showed maximal conductance at the position closest to the root tip (5 cm).
This conductance is the product of the maximal conductance, noted (J^{ij}_{t}), of the synapse by the proportion (y^{j}_{t}) of neurotransmitters available at neuron j.
On the opposite, the maximal conductance is reached when all neurons fire all the time so that Ω1 is the "highest conductance state".
The factor g ¯ in (16) represents the maximal conductance (or conductance density) of one of the weak synapses, and it will be taken to be small.
