Unifying computational and experimental descriptions of cortical networks across scales
Abstract: An in-depth understanding of how information is processed in cortical networks will require integration and consolidation of diverse experimental data on these circuits along with computational modelling of their dynamical properties at multiple scales. Many datasets on cortical connectivity at the micro-, meso- and macro-scale have been released in recent years. In parallel, computational models have been created which range from spiking network models with point neurons or multicompartmental cells to whole brain models using neural mass representations for cortical areas. However, integrating data and computational models from different groups has been hampered by the lack of standard representations for data and the diversity of simulators for creating models at different scales.
In this talk I will present my work to date on making computational models more accessible and interoperable, through the development of the model description language NeuroML, and with the development of an open platform for sharing and collaboratively developing such models, Open Source Brain (http://www.opensourcebrain.org). I will also discuss work to unify descriptions of complex connectivity in cortical networks across experimental datasets and models.
About the speaker: Padraig Gleeson is a Principal Research Associate at University College London in the lab of Angus Silver. His work focuses on development of tools and standards to facilitate the generation, analysis and sharing of models of biologically detailed neuronal networks. He has developed neuroConstruct, a freely available graphical application for constructing and analysing such models in 3D. He is the main technical contributor to the NeuroML language for simulator independent model descriptions in neuroscience. He leads the development of the Open Source Brain repository which aims to facilitate the sharing and collaborative development of neuronal models in an open source environment. He is also a Senior Contributor to the OpenWorm project which is seeking to create a highly detailed in-silico model of the nematode C. elegans.