In this workshop, attendees will learn how to use software for building, simulating, and visualizing bio-realistic models of brain circuits.

These tools include:

• The SONATA file format for multiscale neuronal network models and simulation output, supporting standardized and computationally efficient storage and exchange of models.

• The Brain Modeling ToolKit (BMTK) – a Python-based software package for building and simulating large-scale neural network models at multiple levels of resolution.

• The Visual Neuronal Dynamics (VND) – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting.

This two-day in-person workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data.

We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply.

Preference will be given to those applicants who are actively doing research in computational neuroscience or are preparing to start a research project in this area. Note that some prior experience with Python might be useful for this workshop. Experience in modeling is not required or expected.

The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop.

Applications are due on February 15. All applicants will be notified of the status of their application by April 15.