Help fixing error message: Index in position 2 exceeds array bounds (must not exceed 1).

Hi All,

Can someone please help me with my code. I get the error message "Index in position 2 exceeds array bounds (must not exceed 1)." at this point of my code, and I am not sure how to fix it:

dataBin = data(1:binWidth, jj); %data in 1 bin

My overall code:

t1 = 20; %start time, seconds
t2 = 30; %end time, seconds

ind1 = find(tim_trl>=t1, 1);
ind2 = find(tim_trl>=t2, 1); %10s time frame

time1 = tim_trl(ind1:ind2);

sampRate = 24414; %sampling freq (Hz), samples per sec
muaWindow = 0.001; %1ms window

binWidth = round(muaWindow*sampRate); %samples be 1ms
threshold = 0.018;
    
    for jj = 1:16 %ch
        
        data = AbData(ind1:ind2, jj);
   
        for kk = 1:10000
        
            abDataBin = data(1:binWidth,jj); %ab data in 1 bin
            dataThreshold = find(abDataBin >= threshold); %find data points >= threshold %1 >thres; 0 <thres
            mua(kk,jj) = sum(dataThreshold); %number of data over threshold per ch  
           
        end
        
    end

Your help is appreciated. Cheers.

[Stijn Haenen]

with the line:

 data = AbData(ind1:ind2, jj);
 

You create an matrix of size (x,1), so you should remove the jj from the line:

 abDataBin = data(1:binWidth,jj); -> abDataBin = data(1:binWidth);

[NA]

That seems to fix it, but only 1 data bin gets stored in adBinData, when I need all 10000 bins. Essentially, abDataBin should be a matrix of 10000x16 (10000 bins of data, kk, per 16 columns, jj). I know I need to apply a shifting window (each bin needs to shift every "1:binWidth" data points), but I'm not sure how to do it. Any ideas?

[Stijn Haenen]

Im not sure what you want, but your for loop for kk is not usefull. you only use kk for a matrix element and all these elements in the loop has the same value.

[NA]

Sorry, I know I’m not being clear. I’ll try and simplify it. I have a set of neural data collected across 16 different channels. I have indexed the data so that I only analyse the last 10 seconds (matrix: 244141 x 16). I want to group the data into 10000 bins across these 16 channels (0.001ms long, which is essentially 24 data points (i.e. binWidth). Within the For loop, I need to create a sliding window that shifts every 24 points (already defined as binWidth) and sums the number of data points >=threshold per bin. Ultimately, I want to left with a matrix of 10000 x 16 (all 10000 bins across 16 channels). I hope this makes more sense.