This course provides a general overview about brain simulation, its fundamentals and clinical applications in stroke, neurodegeneration, epilepsy and brain tumors. The mathematical framework of multi-scale brain modeling and its analysis is introduced. In particular, you get to know the open-source neuroinfromatcis platform The Virtual Brain and learn how to use it in the graphical user interface and by pythons scripts. In the end, you can create your own epilepsy brain simulations.

Introductory lectures on different aspects of Biophysical models.

A number of programming languages are ubiquitous in modern neuroscience and are key to the competence, freedom, and creativity necessary in neuroscience research.

This workshop covers recent developments in this rapidly developing field of neuromorphic computing systems, and challenges ahead.

Workshop at Neuroinformatics 2015 in Cairns, Australia.

Introduction to modeling the brain.

Tutorials on how to use Allen atlases and digital brain atlasing tools

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees.

This module provides an introduction to the motivation of deep learning and its history and inspiration.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

This session will include presentations of infrastructure that embrace the FAIR principles developed by members of the INCF Community.

This course provides a broad, non-technical overview of the field of neurotechnology. It is intended to provide users with a fundamental understanding of how neurotechnology works.

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees.

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees.

This module introduces computational neuroscience by simulating neurons according to the AdEx model. You will learn about generative modeling, dynamical systems, and F-I curves. The MATLAB code introduces live scripts and functions.

This workshop focus on what is required of those working in neuroanatomy to make their data suitable for and compliant with neuroinformatics systems.

Workshop at Neuroinformatics 2014 in Leiden, The Netherlands

The Neurodata Without Borders: Neurophysiology project (NWB, https://www.nwb.org/) is an effort to standardize the description and storage of neurophysiology data and metadata. NWB enables data sharing and reuse and reduces the energy-barrier to applying data analytics both within and across labs. Several laboratories, including the Allen Institute for Brain Science, have wholeheartedly adopted NWB.

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives.

Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB). This simulation environment enables the biologically realistic modeling of whole-brain network dynamics across different brain scales, using personalized structural connectome-based approach.