Convert Cell Array Timepoints: Create Continuous Data Series

How can I change a cell array with timepoints in to a continous

Burak_Özbagci asked: 2021-07-12 neural network , cell arrays , indexing

Learn how to convert a cell array with timepoints into a continuous time series in MATLAB. Get step-by-step solutions and code examples. Solve your MATLAB data

Expert Answer

John Williams answered . 2025-07-14 13:53:33

If I am understanding you correctly, you would like to change each 50x2 cell array into a 50x10000 matrix of mainly zeros, with a value of 1 at indices that correspond to the times in the original 50x2 array. You can do this by making a new 15x1 cell array in which each cell is a 50x10000 matrix of zeros. Then, use the times in the original array to index into the matrices of zeros to set the corresponding entry to 1. This would look something like:

% XX = original cell array
seqNum = 15;
neuronNum = 50;

% create new cell array
XX2 = cell([seqNum 1]);
for i = 1:seqNum
    XX2{i} = zeros(neuronNum, 10000);
    currSeq = XX{i};
    for j = 1:neuronNum
        % convert times into indices
        a = round(currSeq{j,1}*10000);
        b = round(currSeq{j,2}*10000);
        % Index into array of zeros
        XX2{i}(j, [a b]) = 1;
    end
end

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