Simulate your own stimulation with the TVB graphical user interface. This hands-on shows you how to configure a stimulus for a specific brain region and apply it to the simulation. Afterwards the results are visualized with the TVB 3D viewer.
Manipulate the default connectome provided with TVB to see how structural lesions effect brain dynamics. In this hands-on session you will insert lesions into the connectome within the TVB graphical user interface (GUI). Afterwards, the modified connectome will be used for simulations and the resulting activity will be analysed using functional connectivity.
Learn how to simulate strokes with the simulation platform, The Virtual Brain. We will go through two papers: Functional Mechanisms of Recovery after Stroke: Modeling with The Virtual Brain and The Virtual Brain: Modeling Biological Correlates of Recovery After Chronic Stroke, and apply the same processes with our own structural connectivity dataset in The Virtual Brain.
In this lesson you will learn how to simulate seizure events and epilepsy in The Virtual Brain. We will look at the paper On the Nature of Seizure Dynamics, which describes a new local model called the Epileptor, and apply this same model in The Virtual Brain. This is part 1 of 2 in a series explaining how to use the Epileptor. In this part, we focus on setting up the parameters.
In this lecture we will focus on a paper called The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. We will have a closer look at the equations of the epileptor model and particular the epileptogenicity index, which controls the excitability of each brain region. Subsequently, we will begin to setup the epileptogenic zone in our own brain network model with TVB.
After introducing the local epileptor model in the previous two videos, we will now use it in a large-scale brain simulation. We again focus on the paper The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. Two simulations with different epileptogenicity across the network are visualized to show the difference in seizure spread across the cortex.
This lecture gives an overview on the article Individual brain structure and modelling predict seizure propagation, in which 15 subjects with epilepsy were modelled to predict individual epileptogenic zones. With the TVB GUI we will model seizure spread and the effect of lesioning the connectome. The impact of cutting edges in the network on seizure spreading will be visualized.
This lecture presents the Graphical (GUI) and Command Line (CLI) User Interface of TVB. Alongside with the speakers, explore and interact with all means necessary to generate, manipulate and visualize connectivity and network dynamics.
This tutorial demonstrates how to use the image processing pipeline with the HBP collab.
This tutorial provides instruction on how to use the TVB-NEST toolbox co-simulation in HBP collab.
In this tutorial, you will learn how to use TVB-NEST toolbox on your local computer.
This tutorial provides instruction on how to perform multi-scale simulation of Alzheimer's disease on The Virtual Brain Simulation Platform.
This presentation accompanies the paper entitled: An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data (see link below to download publication).
This lesson consists of a supplementary video for the publication: Inferring multi-scale neural mechanisms with brain network modelling.
Research Resource Identifiers (RRIDs) are ID numbers assigned to help researchers cite key resources (e.g., antibodies, model organisms, and software projects) in biomedical literature to improve the transparency of research methods.
This lecture on model types introduces the advantages of modeling, provide examples of different model types, and explain what modeling is all about.
This lecture focuses on how to get from a scientific question to a model using concrete examples. We will present a 10-step practical guide on how to succeed in modeling. This lecture contains links to 2 tutorials, lecture/tutorial slides, suggested reading list, and 3 recorded Q&A sessions.
This lecture focuses on the purpose of model fitting, approaches to model fitting, model fitting for linear models, and how to assess the quality and compare model fits. We will present a 10-step practical guide on how to succeed in modeling.
This lecture provides an overview of the generalized linear models (GLM) course, originally a part of the Neuromatch Academy (NMA), an interactive online summer school held in 2020. NMA provided participants with experiences spanning from hands-on modeling experience to meta-science interpretation skills across just about everything that could reasonably be included in the label "computational neuroscience".
This lecture introduces the core concepts of dimensionality reduction.