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In this lesson, you will learn about the GeNN (GPU-enhanced Neuronal Networks) framework, which aims to facilitate the use of graphics accelerators for computational models of large-scale neuronal networks. GeNN is an open-source library that generates code to accelerate the execution of network simulations on NVIDIA GPUs, through a flexible and extensible interface, which does not require in-depth technical knowledge from the users.

Difficulty level: Beginner
Duration: 59:00

This video gives a short introduction to the EBRAINS data sharing platform, why it was developed, and how it contributes to open data sharing.

Difficulty level: Beginner
Duration: 17:32
Speaker: : Ida Aasebø

This video demonstrates how to find, access, and download data on EBRAINS.

Difficulty level: Beginner
Duration: 14:27

This lesson gives a tour of how popular virtualization tools like Docker and Singularity are playing a crucial role in improving reproducibility and enabling high-performance computing in neuroscience.

Difficulty level: Beginner
Duration: 2:51:34
Speaker: : Peer Herholz

This lesson gives a demonstration of how to use SciUnit, a Pythonic framework for data-driven unit testing that separates the interface from the implementation, respecting the diversity of conventions for modeling and data collection.

Difficulty level: Beginner
Duration: 1:23:00
Speaker: : Richard Gerkin

Today’s (neuro)scientific computing landscape depends more than ever on selecting, combining, and implementing a range of tools and technologies for each specific use case. For decades, neuroscience users have turned to MATLAB as an integration environment for pioneering and innovative small-scale studies. This lesson consists of a brief talk outlining how MATLAB integrates with today's powerful tools and technologies.

Difficulty level: Beginner
Duration: 00:09:51
Speaker: :

Hierarchical Event Descriptors (HED) fill a major gap in the neuroinformatics standards toolkit, namely the specification of the nature(s) of events and time-limited conditions recorded as having occurred during time series recordings (EEG, MEG, iEEG, fMRI, etc.). Here, the HED Working Group presents an online INCF workshop on the need for, structure of, tools for, and use of HED annotation to prepare neuroimaging time series data for storing, sharing, and advanced analysis. 

     

    Difficulty level: Beginner
    Duration: 03:37:42
    Speaker: :

    This workshop will introduce reproducible workflows and a range of tools along the themes of organisation, documentation, analysis, and dissemination. 

    Difficulty level: Beginner
    Duration: 01:28:43
    Speaker: :

    In this talk, challenges of handling complex neuroscientific data are discussed, as well as tools and services for the annotation, organization, storage, and sharing of these data. 

    Difficulty level: Beginner
    Duration: 21:49
    Speaker: : Thomas Wachtler

    This lecture describes the neuroscience data respository G-Node Infrastructure (GIN), which provides platform independent data access and enables easy data publishing. 

    Difficulty level: Beginner
    Duration: 22:23
    Speaker: : Michael Sonntag

    This lecture discusses the the importance and need for data sharing in clinical neuroscience.

    Difficulty level: Intermediate
    Duration: 25:22
    Speaker: : Thomas Berger

    This lecture presents the Medical Informatic Platform's data federation for Traumatic Brain Injury.

    Difficulty level: Intermediate
    Duration: 25:55
    Speaker: : Stefano Finazzi

    This lecture gives insights into the Medical Informatics Platform's current and future data privacy model.

    Difficulty level: Intermediate
    Duration: 17:29
    Speaker: : Yannis Ioannidis

    This lecture explains the concept of federated analysis in the context of medical data, associated challenges. The lecture also presents an example of hospital federations via the Medical Informatics Platform.

    Difficulty level: Intermediate
    Duration: 19:15
    Speaker: : Yannis Ioannidis

    This lecture gives an overview on the European Health Dataspace. 

    Difficulty level: Intermediate
    Duration: 26:33

    This lecture presents the Medical Informatics Platform's data federation in epilepsy.

    Difficulty level: Intermediate
    Duration: 27:09
    Speaker: : Philippe Ryvlin

    This lecture presents the Medical Informatics Platform's data federation in epilepsy.

    Difficulty level: Intermediate
    Duration: 26:51
    Speaker: : Pawel Swieboda

    The state of the field regarding the diagnosis and treatment of major depressive disorder (MDD) is discussed. Current challenges and opportunities facing the research and clinical communities are outlined, including appropriate quantitative and qualitative analyses of the heterogeneity of biological, social, and psychiatric factors which may contribute to MDD.

    Difficulty level: Beginner
    Duration: 1:29:28

    This lesson delves into the opportunities and challenges of telepsychiatry. While novel digital approaches to clinical research and care have the potential to improve and accelerate patient outcomes, researchers and care providers must consider new population factors, such as digital disparity. 

    Difficulty level: Beginner
    Duration: 1:20:28
    Speaker: : Abhi Pratap

    This is a continuation of the talk on the cellular mechanisms of neuronal communication, this time at the level of brain microcircuits and associated global signals like those measureable by electroencephalography (EEG). This lecture also discusses EEG biomarkers in mental health disorders, and how those cortical signatures may be simulated digitally.

    Difficulty level: Intermediate
    Duration: 1:11:04
    Speaker: : Etay Hay