=============
Neuron models
=============

.. currentmodule:: pyNN.standardmodels.cells

PyNN provides a library of neuron models that have been standardized so as to
give the same results (within certain limits of numerical accuracy) on different
backends. Each model is represented by a "cell type" class.

It is also possible to use simulator-specific neuron models, which we call
"native" cell types. Of course, such models will only work with one specific
backend simulator.

.. note:: the development version has some support for specifying cell types
          using the NineML_ and NeuroML_ formats, but this is not yet available
          in the current release.
   
Standard cell types
===================

* Plain integrate-and-fire models:

  * :class:`IF_curr_exp`
  * :class:`IF_curr_alpha`
  * :class:`IF_cond_exp`
  * :class:`IF_cond_alpha`
    
* Integrate-and-fire with adaptation:

  * :class:`IF_cond_exp_gsfa_grr`
  * :class:`EIF_cond_alpha_isfa_ista`
  * :class:`EIF_cond_exp_isfa_ista`    
  * :class:`Izhikevich`
    
* Hodgkin-Huxley model

  * :class:`HH_cond_exp`

* Spike sources (input neurons) 

  * :class:`SpikeSourcePoisson`
  * :class:`SpikeSourceArray`
  * :class:`SpikeSourceInhGamma`


Base class
----------

All standard cell types inherit from the following base class, and have the
same methods, as listed below.


.. autoclass:: pyNN.standardmodels.StandardCellType
   :show-inheritance:

   .. automethod:: get_schema
   .. automethod:: get_parameter_names
   .. automethod:: get_native_names
   .. automethod:: has_parameter
   .. automethod:: translate
   .. automethod:: reverse_translate
   .. automethod:: simple_parameters
   .. automethod:: scaled_parameters
   .. automethod:: computed_parameters
   .. automethod:: describe


Simple integrate-and-fire neurons
---------------------------------

.. autoclass:: IF_cond_exp
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: IF_cond_alpha
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: IF_curr_exp
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: IF_curr_alpha
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based


Integrate-and-fire neurons with adaptation
------------------------------------------

.. autoclass:: Izhikevich
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: EIF_cond_exp_isfa_ista
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: EIF_cond_alpha_isfa_ista
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: IF_cond_exp_gsfa_grr
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based


Spike sources
-------------

.. autoclass:: SpikeSourcePoisson
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: SpikeSourceArray
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based

.. autoclass:: SpikeSourceInhGamma
   :members:
   :undoc-members:
   :show-inheritance:

   .. autoattribute:: injectable
   .. autoattribute:: conductance_based


Native cell types
=================

.. todo:: WRITE THIS PART


Utility functions
=================

.. autofunction:: pyNN.neuron.list_standard_models


.. _NineML: http://nineml.incf.org
.. _NeuroML: http://www.neuroml.org