def fetchSpCells(self, nodes, numSyn):
SpCell = []<EOL>for size in numSyn:<EOL><INDENT>SpCell.append(np.random.randint(nodes.min(), nodes.max(),<EOL>size=size).astype('<STR_LIT>'))<EOL><DEDENT>return SpCell<EOL>
For N (nodes count) nestSim-cells draw
POPULATION_SIZE x NTIMES random cell indexes in
the population in nodes and broadcast these as `SpCell`.

The returned argument is a list with len = numSyn.size of np.arrays,
assumes `numSyn` is a list


Parameters
----------
nodes : numpy.ndarray, dtype=int
    Node # of valid presynaptic neurons.
numSyn : numpy.ndarray, dtype=int
    # of synapses per connection.


Returns
-------
SpCells : list
    presynaptic network-neuron indices


See also
--------
Population.fetch_all_SpCells