Response output
---------------

Cortical units
**************

The following features of the state of a cortical cell can be
stored as output:

* **spikes** - spike times
* **vm** - Vm for soma (mV)
* **vd** - Vm for dendrite (mV)
* **gad** - Adaptation conductance (nS)
* **in_gi** - Total inhibitory conductance from population "in"
* **in_ii** - Current from population "in"
* **ex_gx** - Total excitatory conductance from population "ex"
* **ex_ix** - Current from intrcortical excitatory synapses, including
  "..._bg_rate_x".
* **lgn_ga** - AMPA conductance from LGN, **same as gx for inh cells**
* **lgn_ia** - AMPA current from LGN (nA)
* **lgn_gn** - NMDA conductance from LGN (**Not for inhib cells**)
* **lgn_gx** - Total excitatory g from LGN = lgn_ga + lgn_gn
* **lgn_gain** - (a + b*gsum) signal which will divide original lgn_ga
  and lgn_gn (thus, lgn_gx).

For example, to save spikes of unit (8,8) of the "ex" population::

  save_pop_unit_as_ex_8_8  s 1000.0  ex 8 8 0  spikes

Or, to save the Vm for the soma of unit (8,8) of the "ex" population::

  save_pop_unit_as_ex_8_8_vm  f 1000.0  ex 8 8 0  vm


LGN Units
*********

* **vm** - sampling at 1000.0  (Don't know if other values work)
* **gx** - sampling at 500.0  (Don't know if other values work)
* **gi** - sampling at 500.0  (Don't know if other values work)


Synapses
******** 

The following features of the state of a synapse can be stored as output:

* **si_mask** - mask values for a synaptic interaction, such as si_ds02
* **si_mask1** - mask values for a synaptic interaction, using 'symmask'
* **si_mask2** - mask values for a synaptic interaction, using 'symmask'

For example, to save the synaptic interaction mask for the first synapse
from ex (8,8,0) to ds (0,0,0)::

  save_pop_syn_as_syn0  f 1000.0  ex 8 8 0  ds 0 0 0  si_mask