Python in Neuroscience satellite to Euroscipy

Paris, Ecole Normale Supérieure, August 29-30 2011 The “Python in Neuroscience” workshop aims at gathering researchers who develop software tools in different branches of neuroscience in order to share ideas, concepts, tools and to foster collaborative projects based on Python language.

29-30 Aug 2011 Paris (France)

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Week Mon. 29 Tue. 30 List

Monday, August 29, 2011 ›

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

›9:15 (15min)

Welcome

› Dussane

9:15 - 9:30 (15min)

Welcome

Dussane

›9:30 (1h30)

neural simulation
Andrew Davison

› Dussane

9:30 - 11:00 (1h30)

neural simulation

Dussane

Andrew Davison

› What's new with Brian? - Romain Brette, Laboratoire de la Psychologie de la Perception, Département d'Etudes Cognitives 09:30-10:00 (30min)

› PyNN: a unified interface for neuronal network simulators - Andrew Davison, Unité de Neuroscience, Information et Complexité 10:00-10:15 (15min)

› Python Tools for Neuromorphic Systems Configuration - Emre Neftci, Institute of Neuroinformatics 10:15-10:30 (15min)

› CLONES: A Closed-Loop Simulation Framework for Body, Muscles and Neurons - Thomas Voegtlin, Laboratoire Lorrain de Recherche en Informatique et Automatique 10:30-10:45 (15min)

› DANA - Nicolas P. Rougier, INRIA Nancy Grand Est, Laboratoire Lorrain de Recherche en Informatique et Automatique 10:45-11:00 (15min)

›11:00 (30min)

Coffee break

11:00 - 11:30 (30min)

Coffee break

›11:30 (1h)

electrophysiology
Romain Brette

› Dussane

11:30 - 12:30 (1h)

electrophysiology

Dussane

Romain Brette

› Flexible spike sorting in Python - Bartosz Telenczuk, Institute for Theoretical Biology, Neurology - Belevtsoff Dmytro, Bernstein Center for Computational Neuroscience Berlin, Neurology 11:30-11:45 (15min)

› NeurOnline: A software to perform online analysis and control of electrophysiological recordings - Ambard Maxime, Bernstein Center Freiburg 11:45-12:00 (15min)

› Using Python tools for analysis of a mathematical model of after-depolarisation - Jakub Nowacki, Bristol Centre for Applied Nonlinear Mathematics 12:00-12:15 (15min)

› Optimisation of stimulation patterns for specific questions in electrophysiology experiments: a Python framework - Damien Drix, Centre for Computational Neuroscience and Robotics 12:15-12:30 (15min)

›12:30 (1h30)

Lunch

12:30 - 14:00 (1h30)

Lunch

›14:00 (1h30)

neuroimaging data processing
Bertrand Thirion

› Dussane

14:00 - 15:30 (1h30)

neuroimaging data processing

Dussane

Bertrand Thirion

› The virtues and sins of PyMVPA - Yaroslav O. Halchenko, Dr. James V. Haxby Lab 14:00-14:30 (30min)

› Classification, Induction and Brain Decoding - Emanuele Olivetti, NeuroInformatics Laboratory - Susanne Greiner, NeuroInformatics Laboratory 14:30-14:45 (15min)

› BrainVISA: a complete software platform for neuroimaging - Dominique Geffroy, IFR 49 - Yann Cointepas, LNAO, NeuroSpin, CEA 14:45-15:00 (15min)

› Pyhrf: a package to extract and study hemodynamics from fMRI data - Thomas VINCENT, Laboratoire de Neuro-imagerie Assistée par Ordinateur 15:00-15:15 (15min)

›15:15 (15min)

Coffee break

15:15 - 15:30 (15min)

Coffee break

›15:30 (1h30)

Poster

15:30 - 17:00 (1h30)

Poster

› 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 (1h30)

› 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 (1h30)

› 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 (1h30)

› 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 (1h30)

› Gom2n: A toolchain to simulate and investigate selective stimulation strategies for FES - Laforet Jeremy, Biomecanique et BioIngenierie 15:30-17:00 (1h30)

› Machine learning for fMRI in Python: inverse inference with scikit-learn - Bertrand Thirion, INRIA Saclay-Île-de-France 15:30-17:00 (1h30)

› Random Subspace Methods for Neuroimaging - Diego Sona, NeuroInformatics Laboratory - Paolo Avesani, NeuroInformatics Laboratory 15:30-17:00 (1h30)

› Simulating topographic distributions of event-related potentials using Brisk - Roman Goj, Psychological Imaging Laboratory 15:30-17:00 (1h30)

› Waxholm Space - Raphael Ritz, Secretariat 15:30-17:00 (1h30)

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