T-Neuro

FDTD, Low-Frequency, Neuron, Mode-Matching, Flow, Acoustics, etc...

11 Topics 27 Posts
  • SAR Analysis

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  • Compute titration thresholds in current

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    What I would do is get the current in the source EM simulation (check out how to do that here) and then multiply that by the titration factor.

  • HOC file support

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    Hi @Habib -thank you! that makes sense. I think I missed that bit of the documentation. I thought section 2.12.1.5.1 is all the documentation available but now I found what you're talking about. I will give this a go- thanks again.

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    Removing neuron from the path file solved the issue but I don't know if there is a better solution.

  • Neuron sensing theory

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  • User-Defined Waveforms

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    @kj Here there is the equivalent Python code. Sometimes it is easier to have all code produced within Sim4Life.

    import numpy as np ## Waveform Parameters t=np.linspace(0,1,60000); # Creates Time Vector f=1000 # Frequency Carrier [Hz] df=10; # Frequency Modulation [Hz] ## Create the Waveform v=0.5*np.sin(2*np.pi*f*t)+0.5*np.sin(2*np.pi*(f+df)*t); # Creates The Data Structure data=np.array([t*1000, v]) ## Write as txt file to be imported in Sim4Life np.savetxt(filename, data, delimiter=' ',fmt='%1.4f')
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  • Neuron not working with sim4life light 6.2

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    That is exactly same as I suffered before. Check the "neurons4l" folder is installed in Sim4Life folder. For example, "C:\Program Files\Sim4Life_6.0.0.3176\neurons4l"

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    @JKM,
    I know the issue, however we prefer not to change the visualization method, as the data in the line sensors can be extracted to calculate other quantities of interest. The issue that you experience is for the myelinated fibers using any MRG parameterization (Motor, Small and Motor and Sensor MRG fibers). For Sweeney, Rat, Senn and the unmyelinated Sundt fiber model, the issue does not exist.

    All the best!

  • Determining how many nodes are along an axon

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    Dear @JKM ,
    Sorry for the late answer. Yes, there are several ways. The first is to create a Point Sensor: after dragging and dropping the axonal entity, a list containing the name of all the sections will appear. E.g. for a myelinated SENN model, the list will show names such as node1[0],internode1[0],node1[1],internode1[1]...
    A second way, via Python is to run the following code that provide a list containing all the section names:

    import s4l_v1 as s4l
    sim=s4l.document.AllSimulations[simulationname]
    sections=sim.GetSectionNames()

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