HOSTED BY
Rolf Kötter, rk@donders.ru.nl
GUEST EDITORS
James A. Bednar (University of Edinburgh, UK)
Andrew Davison (UNIC, CNRS, France)
Markus Diesmann (RIKEN Brain Science Institute, Japan)
Marc-Oliver Gewaltig (Honda Research Institute Europe GmbH, Germany)
Michael Hines (Yale University, USA)
Eilif Muller (LCN-EPFL, Switzerland)
ABOUT THE SPECIAL TOPIC
Python is rapidly becoming the de facto standard language for systems
integration. Python has a large user and developer-base external to
the neuroscience community, and a vast module library that facilitates
rapid and maintainable development of complex and intricate systems.
In this special section, we highlight recent efforts to develop Python
modules for the domain of neuroscience software and neuroinformatics:
- simulators and simulator interfaces
- data collection and analysis
- sharing, re-use, storage and databasing of models and data
- stimulus generation
- parameter search and optimization
- visualization
- VLSI hardware interfacing
Moreover, we seek to provide a representative overview of existing
mature Python modules for neuroscience and neuroinformatics, to
demonstrate a critical mass and show that Python is an appropriate
choice of interpreter interface for future neuroscience software
development.
DEADLINE FOR SUBMISSION
September 14, 2008
- NEURON and Python
- PyNEST: A convenient interface to the NEST simulator
- Modular toolkit for Data Processing (MDP): a Python data processing framework
- Generating stimuli for neuroscience using PsychoPy
- Python for large-scale electrophysiology
- PyNN: a common interface for neuronal network simulators
- A Python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites
- PyMOOSE: Interoperable scripting in Python for MOOSE
- Brian: a simulator for spiking neural networks in Python
- Vision Egg: an open-source library for realtime visual stimulus generation



