Pine bough, from  Pine bough, by fortinbras  PyNN (pronounced
'pine') is a Python package for simulator-independent
specification of neuronal network models.  In other words, you
can write the code for a model once, using the PyNN API, and
then run it without modification on any simulator that PyNN
supports (currently NEURON, NEST and PCSIM).  The API has two
parts, a low-level, procedural API (functions create(),
connect(), set(), record(), record_v()), and a high-level,
object-oriented API (classes Population and Projection, which
have methods like set(), record(), setWeights(), etc.).  The
low-level API is good for small networks, and perhaps gives more
flexibility. The high-level API is good for hiding the details
and the book-keeping, and is intended to have a one-to-one
mapping with FacetsML.  The other thing that is required to
write a model once and run it on multiple simulators is standard
cell models. PyNN translates standard cell-model names and
parameter names into simulator-specific names, e.g. s