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@@ -29,4 +29,4 @@ In order to calculate the Urms map in the 0.05-0.5Hz band shown in Fig.2, a long
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For the in-vivo device characterization. Script "LongitudinalAssessment.py" in folder "in-vivo" loads and plots the I-V curves and Gm/Irms/Urms evolution shown in Fig.3. An example of the bipolar stimulation response is provided
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by the script "PlotBode.py" in the "Day1-2/Analysis scripts" folder, which takes the precomputed data from a dictionary containing the frequency response from all g-SGFETs. This precomputed data can be found in "Day1-2/Analyzed data" folder. The precomputed PSD data can be found in the folder "in-vivo/PSD-charact". The computation of the PSD and Bode response from the raw data is done by the script "Overview_BodeInVivo_AllChannels_current_MAP.py" which can also be found in "Day1-2/Analysis scripts" folder.
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-An example of raw drain-to-source signal in Amperes is included in "Raw Data" folder. The calibration scripts can be found in the "Day1-2/calibration scripts" folder. "CalcUd0.py" compares IV curves extracted before implantation and after implantation in order to correct the CNP drifts and compute a calibration file which is saved as python a dictionary in "Day1-2/Cal Data" folder. The electrophysiological signals are then calibrated using this file. Run "CalibrationRec2_ExportDatFile.py" to load, calibrate and export the signals to .dat format (this computation is very demanding in terms of RAM >16GB and can take >20min). Finally, "PhaseAmplitude_Rec2.py" in "Day1-2/analysis scripts" computes the phase-amplitude coupling for two DC channels (plot in Fig.3). This scripts takes few minutes to compute the analysis.
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+An example of raw drain-to-source signal in amperes is included in "Raw Data" folder. The calibration scripts can be found in the "Day1-2/calibration scripts" folder. "CalcUd0.py" compares IV curves extracted before implantation and after implantation in order to correct the CNP drifts and compute a calibration file which is saved as a python dictionary in "Day1-2/Cal Data" folder. The electrophysiological signals are then calibrated using this file. Run "CalibrationRec2_ExportDatFile.py" to load, calibrate and export the signals to .dat format (this computation is demanding in terms of RAM >16GB and can take >20min). Finally, "PhaseAmplitude_Rec2.py" in "Day1-2/analysis scripts" computes the phase-amplitude coupling for two DC channels (plot in Fig.3). This scripts takes few minutes to compute the analysis.
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