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A Python interface to NEST

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Jochen Martin Eppler

16 December 2009

With PyNEST, stimulus generation, simulation and data analysis can be performed in a single programming language.




Author

Jochen Martin Eppler
Bernstein Center for Computational Neuroscience

J. M. Eppler received his Diploma in Computer Science from the University of Freiburg in 2006. Currently, he is pursuing his PhD in a joint project by the Honda Research Institute Europe and the Bernstein Center for Computational Neuroscience in Freiburg.


References
  1. M.-O. Gewaltig and M. Diesmann, NEST (Neural Simulation Tool), Scholarpedia 2 (4), pp. 1430, 2007.

  2. H. E. Plesser, J. M. Eppler, A. Morrison, M. Diesmann and M.-O. Gewaltig, Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers, Euro-Par 2007: Parallel Processing, pp. 672-681, Springer-Verlag, Berlin, 2007.

  3. Adobe Systems Inc., The PostScript Language Reference Manual 2 ed. ed., Addison-Wesley, 1991.

  4. P. F. Dubois, Guest Editor's Introduction: Python: Batteries Included, Computing in Science and Engineering 9 (3), pp. 7-9, 2007.

  5. MathWorks, MATLAB The Language of Technical Computing: Using MATLAB, Natick, MA, 2002. 3 Apple Hill Drive, Natick, Mass. 01760-2098

  6. S. Wolfram, The Mathematica Book 5 ed. ed., Wolfram Media Incorporated, 2003.

  7. Frontiers in Neuroinformatics: Special topic on Python in Neuroscience, Frontiers Research Foundation, 2009. http://frontiersin.org/neuroinformatics/specialtopics/8

  8. G. van Rossum, Python/C API Reference Manual, 2008. http://docs.python.org/api/api.html

  9. A. Alexandrescu, Array, Addison-Wesley, Boston, 2001.

  10. J. M. Eppler, M. Helias, E. Muller, M. Diesmann and M. Gewaltig, PyNEST: a convenient interface to the NEST simulator, Front. Neuroinform. 2, pp. 12, 2008.


 
DOI:  10.2417/1200912.1703

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