- Timestamp:
- 06/28/07 16:51:58 (5 years ago)
- Location:
- branches/0.3/doc
- Files:
-
- 3 modified
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highlevelapi.txt (modified) (1 diff)
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installation.txt (modified) (1 diff)
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introduction.txt (modified) (1 diff)
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branches/0.3/doc/highlevelapi.txt
r78 r111 68 68 69 69 The actual return values depend on the simulator engine used, and may be integers, strings, or Python objects. 70 The n-tuple of values within the square brackets is referred to as a neuron s's *address*, while the return value is its *id*.70 The n-tuple of values within the square brackets is referred to as a neuron's *address*, while the return value is its *id*. 71 71 Trying to address a non-existent neuron will raise an Exception:: 72 72 -
branches/0.3/doc/installation.txt
r78 r111 95 95 (This assumes you have PyNEST installed). 96 96 97 If you wish to use NEURON, there isare some additional steps.97 If you wish to use NEURON, there are some additional steps. 98 98 99 99 1. Copy the ``hoc`` directory of the source distribution to the pyNN installation directory, e.g.:: -
branches/0.3/doc/introduction.txt
r78 r111 3 3 ============ 4 4 5 PyNN (pronounced 'pine' ) is a Python package for simulator-independent specification of neuronal network models.5 PyNN (pronounced 'pine') is a Python package for simulator-independent specification of neuronal network models. 6 6 7 7 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_).
