Workshop at CNS 2020
Tools and resources for developing and sharing models in computational neuroscience
A workshop to be held at the 29th Annual Computational Neuroscience Meeting. CNS 2020 is being held online this year.
- Kael Dai, Allen Institute for Brain Science, firstname.lastname@example.org
- Salvador Dura-Bernal, State University of New York Downstate, email@example.com
- Padraig Gleeson, University College London, firstname.lastname@example.org
Tues 21st July & Wed 22nd July. These will be ~5 hour sessions starting at 07:00 LA; 10:00 NY; 16:00 Berlin. More details to follow.
- Anton Arkhipov, Allen Institute for Brain Science, USA (BMTK)
- Upi Bhalla, National Centre for Biological Sciences, India (MOOSE)
- Luca Bologna, CNR / Human Brain Project (HBP BSP)
- Ted Carnevale, Yale University, USA (ModelDB)
- Ben Cummings, ETH Zurich, Switzerland (ARBOR)
- Andrew Davison, Paris-Saclay Institute of Neuroscience, France (PyNN)
- Salvador Dura-Bernal, SUNY Downstate, Brooklyn, USA (NetPyNE)
- Padraig Gleeson, University College London, UK (NeuroML / OSB)
- Dan Goodman, Imperial College, UK (Brian)
- Pramod Kumbhar, EPFL / Blue Brain Project, Switzerland (coreNEURON)
- Aurel Lazar, Columbia University, USA (FFBO & FBL)
- Charl Linssen, Jülich Supercomputing Centre, Germany (NEST)
- Robert McDougal, Yale University, USA (NEURON / ModelDB)
- Petra Ritter, Charité, Berlin, Germany (TVB, VirtualBrainCloud)
- Subhashini Sivagnanam, San Diego Supercomputer Center, USA (Neuroscience Gateway)
This workshop will focus on recent advances in software tools for modeling neurons and neuronal networks at different levels of resolution. Neuroscience is experiencing a rapid growth of data streams characterizing composition, connectivity, and activity of brain networks in ever increasing details. Data-driven modeling will be essential to integrate these multimodal and complex data into predictive simulations to advance our understanding of brain function and mechanisms. We will bring together representatives of many teams that develop computational tools aimed at incorporating and simulating this complexity.
Major topics for discussion will include the established and emerging computational approaches for building and simulating network models, advances in enabling increased access to sophisticated modeling for a broad community of users, and sharing and reproducibility of models. These discussions will serve to promote the efficiency, reproducibility, and free exchange of computational models in the community to support advances in many areas of neuroscience.
The workshop scheduled is summarized below, with times in the US EASTERN TIME / NY timezone: