Zipper model simulations reveal that uptake probability as a function of receptor behaves in this characteristic fashion according to P 2 RB / (KDeff + RB) (Fig 2D).

Zipper model simulations were performed at MOI (500) and a power-law of the form P = RB/KDeff was fit to scaled output.

Zipper model simulations .

Zipper model simulations were performed and the uptake was calculated for M01 (500).

(A) For each parameter, the zipper model simulates several perturbations over two orders of magnitude.

Fig 4A shows the model simulations compared to the literature in Vitro data, to which the model was fit, that monitored the IGFBP2 concentration as a function of time under two external concentrations of IGFI (0 nM and 100 nM) in the system [74].

For the case with 0 nM external IGFI, the model simulations that best fitted the in Vitro data was found to be internal IGFI concentration levels of 92.5 nM of IGFI.

Fig 3B shows the model simulations compared to literature in Vitro data that monitored HIFloc as a function of oxygen [71].

Predictions for the influence of the number of training pairs on the learning rates were made using a fixed ratio between ayo and a; for the model simulations .

To compare these results to the Mixture-of-Kalman-Filters Model, we reran the model simulations for each participant using the trial-sequence from the point at which each participant started to learn.

However, as mentioned above, model simulations themselves were performed using the trial sequence across all blocks for each individual participant.