You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: spikernel.m
    path of file: ./repos/CanlabCore/CanlabCore/External/spider/basic/@kernel
    
    the code of the file until where you have to start completion: function K = spikernel( k, d1, d2, ind1, ind2, kerparam)

    
function K = spikernel( k, d1, d2, ind1, ind2, kerparam)

% K = spikernel( k, d1, d2, ind1, ind2, kerparam)
% computes the spikernel between two sequences of spiking activity
%
% kerparam{1} = N; max subsequence lengths (the kernel compares subsequences of lengths 1 to N and returns a sum of kernels)
% kerparam{2} = lam; \lambda parameter from article
% kerparam{3} = mu; \mu parameter from article
% kerparam{4} = p; the q parameter in the article - the parameter that is used in the sum of kernels to weigh them differently
% kerparam{5} = bins; the number of bins used;          we need this to reshape the data correctly
% kerparam{6} = nneurons; the number of neurons;    we need this to reshape the data correctly
%
%   This code uses the spikernel function, defined in:
%   Spikernels: Embedding Spiking Neurons in Inner-Product Spaces 
%   Lavi Shpigelman, Yoram Singer, Rony Paz and Eilon Vaadia 
%   Advances in Neural Information Processing Systems (NIPS) 15 
%   MIT Press, Cambridge, MA, 2003. 
%
% for further details see Fspikernel.m

bins = kerparam{5};
nneurons = kerparam{6}; 

xx = get_x( d1, ind1);
yy = get_x( d2, ind2);
K = zeros( size( yy,1), size( xx,1));

for i = 1:size( xx, 1)
    for j = 1:size( yy,1)
        K( j, i) = Fspikernel( reshape( yy( j, :), bins, nneurons), reshape( xx( i,:), bins, nneurons), kerparam{1}, kerparam{2}, kerparam{3}, kerparam{4});
%        K( j, i) = K( i, j);
%       if bins >= 100 disp(sprintf('we''re at: (%d, %d)', i,j)); end