Simulation:Simulate

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Simulation generates microscopic and macroscopic currents from a markov model. Currents can be stimulated, with ligand- and voltage- dependent rates, and voltage-dependent conductance. Various noise and artifacts can be added for verisimilitude.

Contents

Properties

Data

Segment count Number of data segments to simulate. Each segment starts with entry probabilities from the model
Segment size number of samples in each data segment
Idealized data whether to overlay the ideal (sampled) event durations
Output state: the "class" of each event is actually the state number

class: (normal style)
group: "class" is the state's group number

Randomize Use a different random seed each time
Seed Same seed, same model, same options should yield the same data. Ignored if Randomize is checked
Rec transitions
New data file You will be prompted to create a new file when you Simulate
Replace data Previous simulated data will be cleared and new data simulated in its place.
Technically, it will use the file last simulated with this model, or if none, the file last simulated with any model.
Append data Data will be written at the end of the last file simulated (same technicality)
Append data to current file Data will be written at the end of the current data file

Model

Pick a model (by default the current one) and set channel count to the number of independent ion channels in the simulated patch. Ctrl-click to select more than one model -- their simulations will be added together.

Set the Value of any parameters which are used in the model(s). For simulations with a changing stimulus, assign each changing stimulus to a Channel, starting with 1. Use Presets to load/save the entire contents of Parameters.

Simulation

Stimulation None: Hold all experimental parameters constant at their Value

File: Vary experimental parameter(s) according to a protocol or data file<br Script: Vary experimental parameter(s) according to a KPL script

Stimulation file Choose from all open Acquisition Protocol or Data files. The file should have as many A/D channels as the model has experimental variables. Assign them (beginning with number 1) in the Model tab
Stimulation script written in KPL
Response Stochastic: Sum the random current from each of channel count channels

Deterministic: Scale the predicted macroscopic current by channel count

i=g*(V - Vrev) Check this option if you want to simulate current responses scaled with the voltage
V[mV] The voltage is either this value, or taken from the stimulation, if any
I leak Check this option if you want to add a "leak" current, also scaled with voltage. It simulates, e.g., a recording from a neuron
Glk [nS] The conductance of Ileak
Vlk [mV] The reversal voltage for Ileak

Staircase

Staircase
Step size(s)
Step std
No Jump Class

Baseline

The following artifacts can be added to the simulated current:

Random fluctuations
Deterministic periodic component sine wave
Linear Gaussian model each baseline point deviates a little from the previous point
Random jumps and exp recovery
Deterministic linear drift

Movie

See Also


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