Python in Neuroscience satellite to Euroscipy

›9:30 (1h45)

workflows and pipelines for data processing
Romain Brette

› Dussane

9:30 - 11:15 (1h45)

workflows and pipelines for data processing

Dussane

Romain Brette

› NiPyPE: A flexible, lightweight and extensible neuroimaging data processing framework - Satrajit Ghosh, Massachusetts Institute of Technology 09:30-10:15 (45min)

› Nitime and IPython: tools for time-series analysis and high-level parallel computing - Fernando Perez, Henry H. Wheeler Brain Imaging Center, University of California, Berkeley 10:15-10:30 (15min)

› More than batteries included: NeuroDebian - Michael Hanke, Department of Experimental Psychology, University of Magdeburg, Center for Cognitive Neuroscience, Dartmouth College, Department of Psychological and Brain Sciences, Dartmouth College 10:30-10:45 (15min)

› Interoperability among Data Processing Frameworks: Reality or Wishful Thinking? - Tiziano Zito, Bernstein Center for Computational Neuroscience Berlin, Berlin Institute of Technology 10:45-11:00 (15min)

› Soma-workflow: An unified and simple interface to parallel computing resources - Soizic Laguitton, LNAO, NeuroSpin, CEA 11:00-11:15 (15min)

›11:15 (30min)

Coffee break

11:15 - 11:45 (30min)

Coffee break

›11:45 (45min)

data management and databasing
Andrew Davison

› Dussane

11:45 - 12:30 (45min)

data management and databasing

Dussane

Andrew Davison

› Neo: representing and manipulating electrophysiology data in Python - Andrew Davison, Unité de Neuroscience, Information et Complexité 11:45-12:00 (15min)

› NiBabel: Conductor for a cacophony of neuro-imaging file formats - Michael Hanke, Department of Psychological and Brain Sciences, Dartmouth College, Center for Cognitive Neuroscience, Dartmouth College, Department of Experimental Psychology, University of Magdeburg 12:00-12:15 (15min)

› Lessons learned from neuroimaging tool development in Python - Stephan Gerhard, EPFL Signal Processing Lab 5 12:15-12:30 (15min)

›12:30 (1h15)

Lunch

12:30 - 13:45 (1h15)

Lunch

›13:45 (45min)

IPython tools for time-series analysis and high-level parallel computing
Fernando Perez

13:45 - 14:30 (45min)

IPython tools for time-series analysis and high-level parallel computing

Fernando Perez

›14:30 (45min)

visualization tools
Gaël Varoquaux

› Dussane

14:30 - 15:15 (45min)

visualization tools

Dussane

Gaël Varoquaux

› Anatomist: a python framework for interactive 3D visualization of neuroimaging data - Yann Cointepas, LNAO, NeuroSpin, CEA 14:30-15:00 (30min)

› 3D Brain Atlas Reconstructor and Common Atlas Format, the infrastructure for constructing tree dimensional brain atlases - Piotr Majka, Departament of Neurophysiology, Nencki Institute of Experimental Biology 15:00-15:15 (15min)