hi
You can choose which one you want to vary, they can be redundant depending on the model in question.
cheers,
Marmaduek
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Dear TVBs,
I hope this email finds you well. I am writing to seek guidance regarding the preprocessing and simulation analysis I conducted using the Parkinson's dataset.
To provide some context, I performed preprocessing on the dataset, which involved generating corresponding structural connectivity matrices and functional connectivity matrices. Subsequently, I utilized the reduced Wongwang I&E model for simulation. During parameter tuning, I initially fixed JN and W+ and conducted a systematic search over G and Ji parameters. Following this, I employed the optimal values of G and Ji to perform another search over JN and W+ to ascertain the parameter configuration that best fits the simulated data.
However, upon visualizing the results through heatmaps depicting spatial search, I noticed that the patterns observed were not as distinct as those presented in your research paper. I am reaching out to seek insights into potential factors contributing to this disparity.
I have attached some images illustrating the heatmaps for your reference. Your expertise and guidance in identifying potential discrepancies or areas for improvement would be immensely valuable to me.
Thank you very much for your time and consideration. I look forward to your insights.
hi Joey,
Perhaps you can write out the citations for those figures? They do show clear trends compared to yours, and the first suspect would be noise, and a second is a plain mismatch between the model and data. I would suggest reducing the noise level and widening
the range of your sweep.
cheers,
Marmaduke