Changeset 345

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Timestamp:
06/05/08 18:01:40 (6 months ago)
Author:
apdavison
Message:

Minor changes to setup.py and the documentation.

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  • branches/0.4/MANIFEST.in

    r249 r345  
    88include test/small_network.py 
    99include doc/*.txt 
     10include COPYING 
     11include changelog 
    1012 

  • branches/0.4/doc/dynamicsynapses.txt

    r331 r345  
    3131To set the model of synapse dynamics to use for the connections of a given 
    3232``Projection``, we pass a ``SynapseDynamics`` object as the ``synapse_dynamics`` 
    33 keyword argument to the ``Projection``constructor. 
     33keyword argument to the ``Projection`` constructor. 
    3434 
    3535The ``SynapseDynamics`` object is simply a container that has attributes ``fast``, 

  • branches/0.4/doc/installation.txt

    r323 r345  
    123123    
    124124    >>> from pyNN.neuron import * 
    125     NEURON -- Release 5.9.9 (1529) 2006-09-11 
    126     by John W. Moore, Michael Hines, and Ted Carnevale 
    127     Duke and Yale University -- Copyright 1984-2006 
     125    NEURON -- Release 6.1.1 (1894) 2007-11-24 
     126    Duke, Yale, and the BlueBrain Project -- Copyright 1984-2007 
     127    See http://www.neuron.yale.edu/credits.html 
    128128 
    129129    >>> setup() 
    …… 
    135135If your model relies on other NMODL mechanisms, call the `load_mechanisms()` function with the path to the directory containing the ``.mod`` files. 
    136136 
    137 .. _PyNN: http://neuralensemble.kip.uni-heidelberg.de/trac/PyNN 
     137.. _PyNN: http://neuralensemble.org/trac/PyNN 
    138138.. _numpy: http://numpy.scipy.org/ 
    139139.. _PCSIM: http://sourceforge.net/projects/pcsim/ 

  • branches/0.4/doc/standardmodels.txt

    r251 r345  
    88To obtain a list of all the standard models available in a given simulator, use the ``list_standard_models()`` function, e.g.:: 
    99 
    10     >>> from pyNN import nest2, neuron 
    11     >>> nest2.list_standard_models() 
    12     [] 
     10    >>> from pyNN import neuron 
    1311    >>> neuron.list_standard_models() 
    14     [] 
     12    [<class 'pyNN.neuron.cells.IF_cond_alpha'>, <class 'pyNN.neuron.cells.IF_curr_exp'>, <class 'pyNN.neuron.cells.SpikeSourceArray'>, <class 'pyNN.neuron.cells.IF_cond_exp'>, <class 'pyNN.neuron.cells.IF_facets_hardware1'>, <class 'pyNN.neuron.cells.SpikeSourcePoisson'>, <class 'pyNN.neuron.cells.EIF_cond_alpha_isfa_ista'>, <class 'pyNN.neuron.cells.IF_curr_alpha'>] 
    1513 
    1614Integrate-and-fire neurons 
    …… 
    10199``cm``            1.0          nF     Capacity of the membrane 
    102100``tau_m``        20.0          ms     Membrane time constant 
    103 ``tau_refrac      0.0          ms     Duration of refractory period 
    104 ``tau_syn_E`      5.0          ms     Decay time of the excitatory synaptic conductance 
    105 ``tau_syn_I`      5.0          ms     Decay time of the inhibitory synaptic conductance 
     101``tau_refrac``    0.0          ms     Duration of refractory period 
     102``tau_syn_E``     5.0          ms     Decay time of the excitatory synaptic conductance 
     103``tau_syn_I``     5.0          ms     Decay time of the inhibitory synaptic conductance 
    106104``e_rev_E``       0.0          mV     Reversal potential for excitatory input 
    107105``e_rev_I``     -70.0          mV     Reversal potential for inhibitory input 

  • branches/0.4/setup.py

    r314 r345  
    4141setup( 
    4242    name = "PyNN", 
    43     version = "0.4.0alpha", 
     43    version = "0.4.0", 
    4444    package_dir={'pyNN': 'src'}, 
    45     packages = ['pyNN','pyNN.nest2','pyNN.nest1','pyNN.pcsim','pyNN.neuron','pyNN.brian'], 
     45    packages = ['pyNN','pyNN.nest2','pyNN.nest1','pyNN.pcsim','pyNN.neuron'], 
    4646    package_data = {'pyNN': ['hoc/*.hoc', 'hoc/*.mod']}, 
    4747    author = "The NeuralEnsemble Community", 

  • branches/0.4/src/__init__.py

    r305 r345  
    1 __version__ = '0.4alpha ( $Revision$)'.replace(' $','') 
     1__version__ = '0.4 ( $Revision$)'.replace(' $','') 
    22__all__ = ["common", "random", "nest1", "nest2", "neuron", "pcsim" ]