they exist but are not implemented in nest1 (or generate an error for IF_cond_exp).
to reproduce:
In [1]: import pyNN.nest1 as sim
In [2]: sim.setup()
(snip)
In [5]: sim.create(sim.IF_cond_alpha)
NotImplementedError? Traceback (most recent call last)
/home/perrinet/NeuroTools/examples/single_neuron/<ipython console> in <module>()
/home/perrinet/python/site-packages/pyNN/nest1/init.py in create(cellclass, param_dict, n)
178 assert n > 0, 'n must be a positive integer'
179 if isinstance(cellclass, type):
--> 180 celltype = cellclass(param_dict)
181 cell_gids = pynest.create(celltype.nest_name, n)
182 cell_gids = [ID(pynest.getGID(gid)) for gid in cell_gids]
/home/perrinet/python/site-packages/pyNN/common.py in init(self, *args, **kwargs)
583
584 def init(self, *args, **kwargs):
--> 585 raise NotImplementedError?("The %s model is not available for this simulator." % self.class.name)
586
587 # ==============================================================================
NotImplementedError?: The IF_cond_alpha model is not available for this simulator.
In [6]: sim.create(sim.IF_cond_exp)
SLIError Traceback (most recent call last)
/home/perrinet/NeuroTools/examples/single_neuron/<ipython console> in <module>()
/home/perrinet/python/site-packages/pyNN/nest1/init.py in create(cellclass, param_dict, n)
179 if isinstance(cellclass, type):
180 celltype = cellclass(param_dict)
--> 181 cell_gids = pynest.create(celltype.nest_name, n)
182 cell_gids = [ID(pynest.getGID(gid)) for gid in cell_gids]
183 pynest.setDict(cell_gids, celltype.parameters)
/usr/local/lib/python2.5/site-packages/pynest/hl_api.py in create(objstr, count)
97
98 for n in range(count):
---> 99 sr(objstr+' Create')
100 cobj+=[spp()]
101 return cobj
/usr/local/lib/python2.5/site-packages/pynest/hl_api.py in catching_sr(cmd)
55 errorname = spp()
56 commandname = spp()
---> 57 raise SLIError, 'PyNEST SLI error in sr(): '+errorname+' in '+commandname
58
59 # set the deault sr function to the one that catches errors
SLIError: PyNEST SLI error in sr(): UndefinedName? in iaf_cond_exp
In [7]:
