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=============
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
|
