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directionselectivity4cell_random

  DIRECTIONSELECTIVITY4CELL_RANDOM

  OUT = DIRECTIONSELECTIVITY4CELL_RANDOM

  Randomly choose weights for a 4-input single layer network and
  calculate direction selectivity

  One can also adjust the parameters using: 
  OUT = DIRECTIONSELECTIVITY4CELL_RANDOM(PARAM1NAME, PARAM1VALUE, ...)

  The following parameters are adjustable (default value in ()):
  ---------------------------------------------------------------------
  latency (0.200)         |  Latency between 1st and 2nd columns
  lag (0.200)             |  Lag between stim hitting 1st and 2nd rows
  Gmax_max (5e-9)         |  Maximum weights
  Gmax_min (0)            |  Minimum weights
  classic_stdp (1)        |  0/1 use classic stdp
  synapseparams           |  synapse parameters
  intfireparams           |  intfire parameters
  dt (0.0001)             |  time resolution
  trials (100)            |  number of trials
  plot_as_we_go (1)       |  0/1 plot to a figure as we go?