code: def get_biased_correlations(data, threshold= 10):
    
    data = data.toDense()
    correlations = numpy.corrcoef(data, rowvar = False)
    highest_correlations = []
    for row in correlations:
      highest_correlations += sorted(row, reverse = True)[1:threshold+1]
    return numpy.mean(highest_correlations)
docs: Gets the highest few correlations for each bit, across the entirety of the
    data.  Meant to provide a comparison point for the pairwise correlations
    reported in the literature, which are typically between neighboring neurons
    tuned to the same inputs.  We would expect these neurons to be among the most
    correlated in any region, so pairwise correlations between most likely do not
    provide an unbiased estimator of correlations between arbitrary neurons.