code: def runExperiment5B(dirName):
    
    # Results are put into a pkl file which can be used to generate the plots.
    # dirName is the absolute path where the pkl file will be placed.
    resultsName = os.path.join(dirName, "sensorimotor_batch_results_more_objects.pkl")
  
    # We run 10 trials for each column number and then analyze results
    numTrials = 10
    featureRange = [10, 50, 100, 150, 500]
    objectRange = [110, 130, 200, 300]
    locationRange = [100]
  
    # Comment this out if you  are re-running analysis on already saved results.
    # Very useful for debugging the plots
    runExperimentPool(
      numSequences=[0],
      numObjects=objectRange,
      numFeatures=featureRange,
      numLocations=locationRange,
      nTrials=numTrials,
      numWorkers=cpu_count() - 1,
      numRepetitions=10,
      resultsName=resultsName)
docs: This runs the second experiment in the section "Simulations with Sensorimotor
    Sequences". It averages over many parameter combinations. This experiment
    could take several hours.  You can run faster versions by reducing the number
    of trials.