Find Common elements between any two columns in each matrix

I'm comparing two matrices: 'KeyNeuronMat1', 100x12 and 'KeyNeuronMat2', 100x9. Each row in the matrix represents a neuron # drawn from a 100 total neurons and each column represents a group # computed by different NN so if a neuron gets assigned to that group, it is given a value "1", else "0". For each column in 'KeyNeuronMat1' (sample below), I'd like to identify which neurons (row indicies)

>> keyNeuronMat1(1:10,1:4)
ans =
     1     1     1     1
     0     0     0     0
     0     1     0     0
     0     1     1     1
     1     0     0     0
     0     0     0     0
     0     1     0     0
     0     1     0     0
     0     0     1     1
     0     0     1     1

are in common within each of the groups (e.g. column indicies) in 'KeyNeuronMat2' without using a loop.

>> keyNeuronMat2(1:10,5:8)
ans =
     1     0     0     0
     1     1     1     1
     0     1     0     0
     0     0     0     0
     1     0     0     0
     0     0     0     0
     0     0     1     0
     0     0     0     0
     1     0     0     0
     0     0     0     0

Is this possible with bsxfun as I've read about this function being used for similar but was not sure.

I've attached my data.

Thanks for any advice.

Answer 1

[Bruno Luong]

Not sure but

keyNeuronMat1(1:10,1:4) & keyNeuronMat2(1:10,5:8)

Give you common neurons/groups.

[AR]

thanks. that works for now!