Specification of the input parameter structure "lpar"
=====================================================

*Lpar* is the parameter structure that defines the cell populations from which axonal and dendritic densities are generated.
The figure below shows the structure of lpar. Any field with a lighter color is itself a struct. 

.. image:: _images/explainLpar.png
  :width: 90 %
  :alt: lpar specification

The fields of lpar are:

:nDim:
	The number of dimensions
:nSigRange:
	cut-off range for gaussians (number of standard deviations from the centre)
:vox.voxPerDim:
	The number of voxels in each dimension. If a scalar is given, all dimensions have that many voxels
:vox.voxelSize:
	A scalar giving the size of a voxel. 
:neurPop:
	A cell array of structs defining all populations in the current model
:neurPop.seed:
	A random seed for this populations
:neurpop.Nn:
	The number of neurons in this populations
:neurpop.isPre:
	Whether or not this is a presynaptic population
:neurpop.name:
	The name of this population, as in identifier*
:neurpop.number:
	The number of this population, as an identifier*
:neurpop.typeSpec:
	a struct specifying the density of the neurons
:typeSpec.generator:
	function handle specifying the generator to use
:typeSpec.parameters:
	Different parameters are required depending on the generator
:typeSpec.Distributions:
	Can be used to define distributions over parameters *,**
:typeSpec.wVec:
	Defines the relative weight of the different Gaussians. Does not have to be normalized*
:neurPop.soma:
	struct containing the specification of the soma distribution
:soma.area:
	Defines in coordinates normalized to [0,1] the range in the tissue at hand where the soma are to be generated, alternatively a scalar soma.edge can be given which gives the amount of somaless area from the edge in normalized coordinates (so it should be from [0,0.5) )
:soma.distribution:
	Defines the distribution of the soma
:soma.seed:
	A new seed to generate soma locations from. If none is given, the population seed, the generator, the rotation and the number of neurons determine the soma distribution*
:neurPop.rot:
	struct defining the rotation of the target densities. Rotations are processed first around X, then Y, then Z.*
:rot.X:
	Rotation around the X axis*
:rot.XDistr:
	Distribution of rotation around the X axis*,**
:rot.Y:
  Rotation around the Y axis*
:rot.YDistr:
	Distribution of rotation around the Y axis*,**
:rot.Z:
  Rotation around the Z axis*
:rot.ZDistr:
	Distribution of rotation around the Z axis*,**
:neurPop.mst:
	Struct defining the parameters for the weighted minimum spanning tree algorithm used to grow the trees
:mst.bf:
	Balancing factor, setting this to 0 creates a minimum spanning tree. 
:mst.thr:
	Threshold, giving the maximum branch length. A branch spans from one point to another.

\*Optional

\*\*Distributions are defined by appending Distr to the parameter name. (See ExampleScript 1 for instance) For options, see help randSample