Correlation coefficient between interspike intervals

15 Ansichten (letzte 30 Tage)
Alba Del Rio Serrato
Alba Del Rio Serrato am 11 Jan. 2018
Bearbeitet: the cyclist am 11 Jan. 2018
Hi,
I´m struggeling a bit calculating the correlation coefficients between the ISIs of my vector, I always get 1 with a p=1 and my basic knowledge tell me that it cannot be correct. So I had voltage values from which I extracted my ISI values in ms, now I need to calculate the correlation coefficient of the intervals.
Any help/explanation? I´m new with this so I ask for patient and understanding!
  2 Kommentare
Star Strider
Star Strider am 11 Jan. 2018
‘... my basic knowledge tell me that it cannot be correct.’
It would seem that the interspike intervals would be correlated. I would plot them as functions of the initial spike time, and see if they form a specific pattern.
It would help if you post at least a representative sample of your spike times and interspike intervals data, as well as your code, and a description of the hypothesis you are testing. We might be able to suggest a better approach than a linear correlation.
Alba Del Rio Serrato
Alba Del Rio Serrato am 11 Jan. 2018
Bearbeitet: the cyclist am 11 Jan. 2018
Voltage = -51.9375000000000 -51.9375000000000 -51.9062000000000 -51.8125000000000 -51.7500000000000 -51.7812000000000 -51.7188000000000 -51.6250000000000 -51.6250000000000 -51.5938000000000 -51.5938000000000 -51.5000000000000 -51.5938000000000 -51.5000000000000 -51.4688000000000 -51.4375000000000 -51.5000000000000 -51.5312000000000 -51.3750000000000 -51.2500000000000 -51.3750000000000 -51.3125000000000 -51.3438000000000 -51.1875000000000 -51.3125000000000 -51.1250000000000 -51.2188000000000 -51.1250000000000 -51.1875000000000 -51.0625000000000 -51.0312000000000 -50.9375000000000 -51 -50.9375000000000 -50.9062000000000 -50.6562000000000 -50.5938000000000 -50.5312000000000 -50.5000000000000 -50.5000000000000 -50.5000000000000 -50.4375000000000 -50.5312000000000 -50.5000000000000 -50.4062000000000 -50.3750000000000 -50.4062000000000 -50.2812000000000 -50.3438000000000 -50.2188000000000
(**Firing rate =0.05 ms) So what I have done to extract the ISIs is:
dt=0.05;
a=length(voltage)*dt;
t=[0:dt:(a-dt)];
v_thres=-20; %set threshold
i=0;
j=0;
NumSpikes=0; %hold number of spikes that have occurred
ISI =[];
for i=2:length(voltage);
if (voltage(i) > v_thres) && (voltage(i-1) < v_thres)
if j==0;
j=i;
else NumSpikes = NumSpikes + 1;
ISI=[ISI (i-j)*dt];
if ((i-j)*dt) < 1;
disp('There is at least one value below the limit.');
end
j=i;
end
end
end
Now I want to calculate the correlation coefficient of intervals, I know based in what they told me about the data, that after a longer intervals seems to come a shorter one.

Melden Sie sich an, um zu kommentieren.

Antworten (0)

Kategorien

Mehr zu Linear and Nonlinear Regression finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by