I am a novice to in vivo recordings and have a unique issue. I am trying to compare waveforms between two periods of time during the recording to identify any consistent shift in signal due to noise.
Below is a recording of our deflections. I am trying to measure the characteristics of timepoints between 390-395 vs 400-405.
I have tried to use the function wf = getWaveForms(gwfparams) but I am having a hard time understanding it.
My goal is to have a table that has the timepoint : +/- 10 samples around it.
The matlab script gives a 4-D table that I believe has this information, but I cannot seem to draw it out correctly.
I have been trying:
for y=[11184:12190]; %Columns of Timepoints within the wf.spikeTimeKeeps
Waveformdata=(((wf.waveForms(1,y,1,:)))); %[nClu,nWf,nCh,nSWf] Individual waveforms (Cluster number, Timepoint, Channel, sample of waveforms.
end
Can anyone explain how I can draw this data out correctly?
Hi,
I am a novice to in vivo recordings and have a unique issue. I am trying to compare waveforms between two periods of time during the recording to identify any consistent shift in signal due to noise.
Below is a recording of our deflections. I am trying to measure the characteristics of timepoints between 390-395 vs 400-405.
I have tried to use the function wf = getWaveForms(gwfparams) but I am having a hard time understanding it.
My goal is to have a table that has the timepoint : +/- 10 samples around it.
ex: Timepoint 390: -0.0702 -0.0433 -0.1412 -0.0876 -0.0093 0.0038 3.4052 -0.1467 -0.0828 -0.0075 -0.0733 -0.1259
The matlab script gives a 4-D table that I believe has this information, but I cannot seem to draw it out correctly.
I have been trying:
for y=[11184:12190]; %Columns of Timepoints within the wf.spikeTimeKeeps Waveformdata=(((wf.waveForms(1,y,1,:)))); %[nClu,nWf,nCh,nSWf] Individual waveforms (Cluster number, Timepoint, Channel, sample of waveforms. end
Can anyone explain how I can draw this data out correctly?