Simulation of large-scale neural networks

This tutorial starts with an introduction to large-scale neuronal networks, giving examples of existing models and identifying some challenges these networks pose for modeling and simulation. This is followed by an introduction to the NEural Simulation Tool (NEST [1]), shedding light on its design principles, which address challenges for large-scale simulations. An overview of the features of NEST is provided, also touching upon advanced properties of neuronal networks like gap-junctions [2]. To familiarize participants with the basic usage of NEST, some simple networks are programmed in hands-on exercises. Next, the tutorial explains how NEST enables parallel simulations via both distributed and threaded computations. Threaded simulations are demonstrated on a cortical microcircuit model [3]. Finally, the tutorial provides an introduction to the NEST Modeling Language (NESTML [4]). In this final hands-on part of the tutorial, the participants learn how to create neuron models in NEST using NESTML.The tutorial does not assume any prior knowledge of NEST. However, it is recommended that participants install NEST on their laptops beforehand [5]. Furthermore, it is recommended to have VirtualBox installed and to have at least 4 GB of free memory available. References and background reading:[1] Kunkel S, Morrison A, Weidel P, Eppler JM, Sinha A, Schenck W, … Plesser HE. (2017). NEST 2.12.0. Zenodo. http://doi.org/10.5281/zenodo.259534[2] Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A and Diesmann M (2015) A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations Front. Neuroinform. 9:22[3] Potjans TC, Diesmann M. The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model. Cereb. Cortex. 2014;24(3):785–806. DOI: 10.1093/cercor/bhs358.[4] Plotnikov, D., Rumpe, B., Blundell, I., Ippen, T., Eppler, J.M. and Morrison, A., 2016. NESTML: a modeling language for spiking neurons. arXiv preprint arXiv:1606.02882.[5] http://www.nest-simulator.org/installation