code: def plotReceptiveFields(sp, nDim1=8, nDim2=8):
    
    columnNumber = np.product(sp.getColumnDimensions())
    fig, ax = plt.subplots(nrows=4, ncols=4)
    for rowI in range(4):
      for colI in range(4):
        col = np.random.randint(columnNumber)
        connectedSynapses = np.zeros((nDim1*nDim2,), dtype=uintType)
        sp.getConnectedSynapses(col, connectedSynapses)
        receptiveField = connectedSynapses.reshape((nDim1, nDim2))
        ax[rowI, colI].imshow(receptiveField, cmap='gray')
        ax[rowI, colI].set_title("col: {}".format(col))
docs: Plot 2D receptive fields for 16 randomly selected columns
    :param sp:
    :return: