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This tutorial demonstrates how to use the image processing pipeline with the HBP collab.

Difficulty level: Beginner
Duration: 5:55

This tutorial provides instruction on how to use the TVB-NEST toolbox co-simulation in HBP collab.

Difficulty level: Beginner
Duration: 3:11

In this tutorial, you will learn how to use TVB-NEST toolbox on your local computer.

Difficulty level: Beginner
Duration: 2:16

This tutorial provides instruction on how to perform multi-scale simulation of Alzheimer's disease on The Virtual Brain Simulation Platform.

Difficulty level: Beginner
Duration: 29:08

This presentation accompanies the paper entitled: An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data (see link below to download publication). 

Difficulty level: Beginner
Duration: 4:56

This lesson consists of a supplementary video for the publication: Inferring multi-scale neural mechanisms with brain network modelling.

Difficulty level: Beginner
Duration: 3:06

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.

Difficulty level: Beginner
Duration: 1:01:36
Speaker: : Maryann Martone

This lesson provides a brief overview of the Python programming language, with an emphasis on tools relevant to data scientists.

Difficulty level: Beginner
Duration: 1:16:36
Speaker: : Tal Yarkoni

This lecture presents an overview of functional brain parcellations, as well as a set of tutorials on bootstrap agregation of stable clusters (BASC) for fMRI brain parcellation.

Difficulty level: Advanced
Duration: 50:28
Speaker: : Pierre Bellec

This lecture on model types introduces the advantages of modeling, provide examples of different model types, and explain what modeling is all about. 

Difficulty level: Beginner
Duration: 27:48
Speaker: : Gunnar Blohm

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.

Difficulty level: Beginner
Duration: 29:52
Speaker: : Megan Peters

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. 

Difficulty level: Beginner
Duration: 26:46
Speaker: : Jan Drugowitsch

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". 

Difficulty level: Beginner
Duration: 33:58
Speaker: : Cristina Savin

This lecture introduces the core concepts of dimensionality reduction.

Difficulty level: Beginner
Duration: 31:43
Speaker: : Byron Yu

This is the first of a series of tutorials on fitting models to data. In this tutorial, we start with simple linear regression, using least squares optimization.

Difficulty level: Beginner
Duration: 6:18
Speaker: : Anqi Wu

In this tutorial, we will use a different approach to fit linear models that incorporates the random 'noise' in our data.

Difficulty level: Beginner
Duration: 8:00
Speaker: : Anqi Wu

This tutorial discusses how to gauge how good our estimated model parameters are.

Difficulty level: Beginner
Duration: 5:00
Speaker: : Anqi Wu

In this tutorial, we will generalize the regression model to incorporate multiple features.

Difficulty level: Beginner
Duration: 7:50
Speaker: : Anqi Wu

This tutorial teaches users about the bias-variance tradeoff and see it in action using polynomial regression models.

Difficulty level: Beginner
Duration: 6:38
Speaker: : Anqi Wu

This tutorial covers how to select an appropriate model based on cross-validation methods. 

Difficulty level: Beginner
Duration: 5:28
Speaker: : Anqi Wu