Monday, August 29, 2011

Time Event  
09:15 - 09:30 Welcome (Dussane)  
09:30 - 11:00 neural simulation (Dussane) - Andrew Davison  
09:30 - 10:00 › What's new with Brian? - Romain Brette, Laboratoire de la Psychologie de la Perception, Département d'Etudes Cognitives  
10:00 - 10:15 › PyNN: a unified interface for neuronal network simulators - Andrew Davison, Unité de Neuroscience, Information et Complexité  
10:15 - 10:30 › Python Tools for Neuromorphic Systems Configuration - Emre Neftci, Institute of Neuroinformatics  
10:30 - 10:45 › CLONES: A Closed-Loop Simulation Framework for Body, Muscles and Neurons - Thomas Voegtlin, Laboratoire Lorrain de Recherche en Informatique et Automatique  
10:45 - 11:00 › DANA - Nicolas P. Rougier, INRIA Nancy Grand Est, Laboratoire Lorrain de Recherche en Informatique et Automatique  
11:00 - 11:30 Coffee break  
11:30 - 12:30 electrophysiology (Dussane) - Romain Brette  
11:30 - 11:45 › Flexible spike sorting in Python - Bartosz Telenczuk, Institute for Theoretical Biology, Neurology - Belevtsoff Dmytro, Bernstein Center for Computational Neuroscience Berlin, Neurology  
11:45 - 12:00 › NeurOnline: A software to perform online analysis and control of electrophysiological recordings - Ambard Maxime, Bernstein Center Freiburg  
12:00 - 12:15 › Using Python tools for analysis of a mathematical model of after-depolarisation - Jakub Nowacki, Bristol Centre for Applied Nonlinear Mathematics  
12:15 - 12:30 › Optimisation of stimulation patterns for specific questions in electrophysiology experiments: a Python framework - Damien Drix, Centre for Computational Neuroscience and Robotics  
12:30 - 14:00 Lunch  
14:00 - 15:30 neuroimaging data processing (Dussane) - Bertrand Thirion  
14:00 - 14:30 › The virtues and sins of PyMVPA - Yaroslav O. Halchenko, Dr. James V. Haxby Lab  
14:30 - 14:45 › Classification, Induction and Brain Decoding - Emanuele Olivetti, NeuroInformatics Laboratory - Susanne Greiner, NeuroInformatics Laboratory  
14:45 - 15:00 › BrainVISA: a complete software platform for neuroimaging - Dominique Geffroy, IFR 49 - Yann Cointepas, LNAO, NeuroSpin, CEA  
15:00 - 15:15 › Pyhrf: a package to extract and study hemodynamics from fMRI data - Thomas VINCENT, Laboratoire de Neuro-imagerie Assistée par Ordinateur  
15:15 - 15:30 Coffee break  
15:30 - 17:00 Poster  
15:30 - 17:00 › 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  
15:30 - 17:00 › A Package for Kernel Smoothing via Diffusion: Rate Estimation of Spike Trains modeled as Non-homogeneous Poisson Processes. - Taskin Deniz, Bernstein Center Freiburg  
15:30 - 17:00 › Developing and evaluating a computerized tool for measuring perceived stress - Dalal Ben Loubir, Medical Informatics Laboratory - Mohamed Bennani Othmani, Medical Informatics Laboratory  
15:30 - 17:00 › Dynamical characterisation of neural networks and neurophysiological time series: Parallel approaches using Python - Thomas Greg Corcoran,, Centre for Computational Neuroscience and Robotics, University of Sussex  
15:30 - 17:00 › Gom2n: A toolchain to simulate and investigate selective stimulation strategies for FES - Laforet Jeremy, Biomecanique et BioIngenierie  
15:30 - 17:00 › Machine learning for fMRI in Python: inverse inference with scikit-learn - Bertrand Thirion, INRIA Saclay-Île-de-France  
15:30 - 17:00 › Random Subspace Methods for Neuroimaging - Diego Sona, NeuroInformatics Laboratory - Paolo Avesani, NeuroInformatics Laboratory  
15:30 - 17:00 › Simulating topographic distributions of event-related potentials using Brisk - Roman Goj, Psychological Imaging Laboratory  
15:30 - 17:00 › Waxholm Space - Raphael Ritz, Secretariat  

Tuesday, August 30, 2011

Time Event  
09:30 - 11:15 workflows and pipelines for data processing (Dussane) - Romain Brette  
09:30 - 10:15 › NiPyPE: A flexible, lightweight and extensible neuroimaging data processing framework - Satrajit Ghosh, Massachusetts Institute of Technology  
10:15 - 10:30 › 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  
10:30 - 10:45 › 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  
10:45 - 11:00 › Interoperability among Data Processing Frameworks: Reality or Wishful Thinking? - Tiziano Zito, Bernstein Center for Computational Neuroscience Berlin, Berlin Institute of Technology  
11:00 - 11:15 › Soma-workflow: An unified and simple interface to parallel computing resources - Soizic Laguitton, LNAO, NeuroSpin, CEA  
11:15 - 11:45 Coffee break  
11:45 - 12:30 data management and databasing (Dussane) - Andrew Davison  
11:45 - 12:00 › Neo: representing and manipulating electrophysiology data in Python - Andrew Davison, Unité de Neuroscience, Information et Complexité  
12:00 - 12:15 › 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  
12:15 - 12:30 › Lessons learned from neuroimaging tool development in Python - Stephan Gerhard, EPFL Signal Processing Lab 5  
12:30 - 13:45 Lunch  
13:45 - 14:30 IPython tools for time-series analysis and high-level parallel computing - Fernando Perez  
14:30 - 15:15 visualization tools (Dussane) - Gaël Varoquaux  
14:30 - 15:00 › Anatomist: a python framework for interactive 3D visualization of neuroimaging data - Yann Cointepas, LNAO, NeuroSpin, CEA  
15:00 - 15:15 › 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