Neuroscience has traditionally been a discipline where isolated labs have produced their own experimental data and created their own models to interpret their findings. However, it is becoming clear that no one lab can create cell and network models rich enough to address all the relevant biological questions, or to generate and analyse all the data required to inform, constrain, and test these models. The success of the open source software development movement suggests that both model building and data collection/curation would be greatly enhanced by public, collaborative efforts to solve these problems. This workshop will highlight several examples of such efforts taking place in neuroinformatics today, and will present open tools and resources that can be instrumental in facilitating further efforts.
Open collaboration in computational neuroscience
The chair of the workshop is giving an introduction and a motivating argument why collaboration in computational neuroscience is important.
Introduction to OpenWorm: an open source project dedicated to creating a virtual C. elegans nematode in a computer.
This lecture covers the aims of the Open Source Brain initiative, the current functionality of the website and the range of models already available, and future plans for the project.
This lecture covers NeuronUnit, a library that builds upon SciUnit and integrates with several existing neuroinformatics resources to support validating single-neuron models using data gathered by neurophysiologists.
An introduction to the NeuroElectro project, which aims to organize information on cellular neurophysiology. Speaker: Shreejoy Tripathy
In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.