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EBRAINS
Приєднався 22 лис 2021
This UA-cam channel is dedicated to EBRAINS Tutorials, presentations and videos only.
EBRAINS provides digital tools and services which can be used to address challenges in brain research and brain-inspired technology development. Its components are designed with, by, and for researchers. The tools assist scientists to collect, analyse, share, and integrate brain data, and to perform modelling and simulation of brain function.
You can register to use the EBRAINS research infrastructure HERE ebrains.eu/register
EBRAINS provides digital tools and services which can be used to address challenges in brain research and brain-inspired technology development. Its components are designed with, by, and for researchers. The tools assist scientists to collect, analyse, share, and integrate brain data, and to perform modelling and simulation of brain function.
You can register to use the EBRAINS research infrastructure HERE ebrains.eu/register
Using the EBRAINS interactive atlas viewer to analyse the brain
Presentation by Kimberley Lothmann, Sebastian Bludau, and Julia Thönnißen (Institute of Neuroscience and Medicine, Structural and functional organisation of the brain (INM-1), Research Centre Jülich, Germany)
Using the atlas to analyse the brain
Understanding how the brain works is one of the grand challenges in science and requires the integration of huge amounts of heterogeneous and complex data. Numerous research publications present experimental data at various levels of granularity and describe a wide range of structural and functional aspects of the brain. In this context, reference atlases of the brain are important tools for assigning location to data captured with the many methods and instruments used to study the brain. With a new generation of three-dimensional digital reference atlases, new solutions for integrating and disseminating brain data are being developed. During the talk, possibilities will be shown to explore brain regions in an interactive 3D viewer, as well as ways to spatially anchor your own volumetric data in a high-resolution reference space. Furthermore, it will be presented how to access linked multimodal data features from the EBRAINS Knowledge Graph with published and freely available tools. The steps and tools shown will be applied in practice in a subsequent hands-on session "Browsing reference atlases online" (~30min).
Hands-on: Browsing reference atlases online
The first level of HBP data integration is achieved by spatial mapping of all data into a common anatomical reference atlas space. This mapping can be semantic by use of specific atlas structure names, or spatial by registration of image data to a 3-D reference atlas template. The hands-on session, will demonstrate the spatial integration of a Hippocampus dataset to the high-resolution BigBrain reference space using voluba. Furthermore, browser-based interaction with different atlases, reference spaces and data features will be showcased using the interactive atlas viewer siibra-explorer. The goal of the hands-on session is to provide basic skills to view and download different brain maps along with their metadata and matching data from different modalities using the interactive atlas viewer siibra-explorer and the EBRAINS KnowledgeGraph infrastructure.
Links:
The Multilevel Human Brain Atlas: atlases.ebrains.eu/
Julich Brain Atlas julich-brain-atlas.de@ LinkedIn: linkedin.com/company/Julich-Brain-Atlas
siibra-explorer: atlases.ebrains.eu/viewer/
voluba Webservice: voluba.apps.hbp.eu
voluba Documentation: voluba.readthedocs.io
exercises: go.fzj.de/siibra-explorer-pdf
Using the atlas to analyse the brain
Understanding how the brain works is one of the grand challenges in science and requires the integration of huge amounts of heterogeneous and complex data. Numerous research publications present experimental data at various levels of granularity and describe a wide range of structural and functional aspects of the brain. In this context, reference atlases of the brain are important tools for assigning location to data captured with the many methods and instruments used to study the brain. With a new generation of three-dimensional digital reference atlases, new solutions for integrating and disseminating brain data are being developed. During the talk, possibilities will be shown to explore brain regions in an interactive 3D viewer, as well as ways to spatially anchor your own volumetric data in a high-resolution reference space. Furthermore, it will be presented how to access linked multimodal data features from the EBRAINS Knowledge Graph with published and freely available tools. The steps and tools shown will be applied in practice in a subsequent hands-on session "Browsing reference atlases online" (~30min).
Hands-on: Browsing reference atlases online
The first level of HBP data integration is achieved by spatial mapping of all data into a common anatomical reference atlas space. This mapping can be semantic by use of specific atlas structure names, or spatial by registration of image data to a 3-D reference atlas template. The hands-on session, will demonstrate the spatial integration of a Hippocampus dataset to the high-resolution BigBrain reference space using voluba. Furthermore, browser-based interaction with different atlases, reference spaces and data features will be showcased using the interactive atlas viewer siibra-explorer. The goal of the hands-on session is to provide basic skills to view and download different brain maps along with their metadata and matching data from different modalities using the interactive atlas viewer siibra-explorer and the EBRAINS KnowledgeGraph infrastructure.
Links:
The Multilevel Human Brain Atlas: atlases.ebrains.eu/
Julich Brain Atlas julich-brain-atlas.de@ LinkedIn: linkedin.com/company/Julich-Brain-Atlas
siibra-explorer: atlases.ebrains.eu/viewer/
voluba Webservice: voluba.apps.hbp.eu
voluba Documentation: voluba.readthedocs.io
exercises: go.fzj.de/siibra-explorer-pdf
Переглядів: 361
Відео
Share, explore, and reuse data and knowledge in EBRAINS - an overview
Переглядів 482 місяці тому
Presentation by Lyuba Zehl (EBRAINS AISBL, Brussels, Belgium, Institute of Neuroscience and Medicine, Structural and functional organisation of the brain (INM-1), Research Centre Jülich, Germany) EBRAINS is an open, digital research infrastructure (RI) where scientific researchers, clinicians, and other experts from various disciplines converge to share, explore and reuse complex, heterogeneous...
The multilevel human brain atlas in EBRAINS - an overview
Переглядів 6282 місяці тому
Presentation by Katrin Amunts (Institute of Neuroscience and Medicine, Structural and functional organisation of the brain (INM-1), Research Centre Jülich, Germany, C. u. O. Vogt-Institute for Brain Research University Hospital Düsseldorf, Germany, EBRAINS AISBL, Brussels, Belgium) and Timo Dickscheid (Institute of Computer Science, Heinrich-Heine-University Düsseldorf, Germany, Helmholtz AI, R...
Talk by Eric Müller: jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
Переглядів 333 місяці тому
'jaxsnn' is a novel library based on JAX. It facilitates the simulation and machine learning inspired training of spiking neural networks with a focus on event-driven computation. The library provides flexible data structures and time handling, while preserving Autograd functionality. The approach enables efficient training and compatibility with time-continuous neuromorphic backends such as Br...
EBRAINS at BAM! Festival 2024 - Aftermovie
Переглядів 865 місяців тому
EBRAINS was present at the recent BAM! Brain and Music Festival held at the Académie Royale de Belgique in Brussels from March 20 to 23, 2024. Organised with the support of the Belgian Presidency of the Council of the European Union 2024, the event attracted a diverse audience comprising scientists, musicians, students, and the general public. The programme included a presentation by Prof. Vikt...
Introducing TEF-Health
Переглядів 856 місяців тому
TEF-Health will provide standards for certification and quality control to facilitate market access for trustworthy AI, ensuring easy and streamlined evaluation. Each node of TEF-Health combines Real World Testing facilities with Laboratory facilities and provides them with standardized certification processes by which AI developers demonstrate interoperability and functionality of their softwa...
Siibra-Explorer Tutorial: Zooming into a brain region of interest to the level of individual cells
Переглядів 1039 місяців тому
Siibra Explorer is bridging the gap between human brain mapping and accessible exploration of the Julich Brain Atlas. Tag us on your findings with siibra-explorer! #humanBrainatlas #SiibraExplorer #BigBrain #JulichBrain
EBRAINS 2022
Переглядів 301Рік тому
EBRAINS is a digital research infrastructure (RI), created by the EU-funded Human Brain Project (HBP), to foster brain-related research and to help translate the latest scientific discoveries into innovation in medicine and industry, for the benefit of patients and society. It draws on cutting-edge neuroscience and offers an extensive range of brain data sets, atlases, modelling and simulation ...
NEST Desktop-01 First steps
Переглядів 717Рік тому
In this tutorial, we will cover the very first steps of using NEST Desktop by means of a simple example network. In order to reproduce those steps, you will need both a NEST Desktop and a NEST Server instances running. If you do not have it installed, you can use NEST Desktop on the EBRAINS platform (ebrains.eu/service/nest-desktop, free user account required). *Tutorial name* NEST Desktop-01 F...
Exploring EBRAINS brain atlases using siibra-explorer
Переглядів 1,2 тис.Рік тому
Exploring the EBRAINS brain atlases using the siibra-explorer, an interactive online 3D atlas viewer, and learning how the human brain atlas is structured. *Author name* Hiba Asim, Timo Dickscheid *Tutorial name* Exploring EBRAINS brain atlases using siibra-explorer *Tool group name* _siibra-explorer_ *High-level topic* Brain Atlases *EBRAINS service category* SC2 - Brain Atlas Services *Keywor...
EBRAINS Live Papers - Builder
Переглядів 68Рік тому
The EBRAINS Live Papers are structured and interactive supplementary documents to complement journal publications, that allow users to readily access, explore, and utilize the various kinds of data underlying scientific studies. Interactivity is a prominent feature with several integrated tools and services that will allow users to download, visualize, or simulate data, models, and results pres...
EBRAINS Live Papers - Platform
Переглядів 56Рік тому
The EBRAINS Live Papers are structured and interactive supplementary documents to complement journal publications, that allow users to readily access, explore, and utilize the various kinds of data underlying scientific studies. Interactivity is a prominent feature with several integrated tools and services that will allow users to download, visualize, or simulate data, models, and results pres...
EBRAINS Live Papers - An Overview
Переглядів 59Рік тому
The EBRAINS Live Papers are structured and interactive supplementary documents to complement journal publications, that allow users to readily access, explore, and utilize the various kinds of data underlying scientific studies. Interactivity is a prominent feature with several integrated tools and services that will allow users to download, visualize, or simulate data, models, and results pres...
Building and simulating a simple model
Переглядів 635Рік тому
PyNN is a simulator-independent language for building neuronal network models. You can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST, and Brian 2) and on several neuromorphic hardware systems. In this tutorial, you will learn how to build a simple network o...
Installing PyNN on a Linux system
Переглядів 334Рік тому
PyNN is a simulator-independent language for building neuronal network models. You can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST, and Brian 2) and on several neuromorphic hardware systems. In this tutorial, you will learn how to install PyNN, together w...
EBRAINS Atlases - QUINT workflow Tutorial
Переглядів 3,9 тис.2 роки тому
EBRAINS Atlases - QUINT workflow Tutorial
EBRAINS Data and Knowledge - Lesson 2 Preparing your data - Data Organisation
Переглядів 1402 роки тому
EBRAINS Data and Knowledge - Lesson 2 Preparing your data - Data Organisation
EBRAINS Data and Knowledge - Lesson 4 Preparing your data - The Data Descriptor
Переглядів 972 роки тому
EBRAINS Data and Knowledge - Lesson 4 Preparing your data - The Data Descriptor
EBRAINS Data and Knowledge - Lesson 5 Finding data in EBRAINS
Переглядів 1822 роки тому
EBRAINS Data and Knowledge - Lesson 5 Finding data in EBRAINS
EBRAINS Data and Knowledge - Lesson 1 What is open data and EBRAINS data sharing
Переглядів 2562 роки тому
EBRAINS Data and Knowledge - Lesson 1 What is open data and EBRAINS data sharing
EBRAINS Data and Knowledge - Lesson 3 Preparing your data - Metadata Organisation
Переглядів 992 роки тому
EBRAINS Data and Knowledge - Lesson 3 Preparing your data - Metadata Organisation
My schizophrenia brought me here ! Can scientist find a cure ?
The future cure is a deep brain receiver-simulator implanted in the brain after the patients brain has been mapped for all its brain locations. An artificial intelligence monitors the received signals 24/7 watching for abnormalities in the received brainwaves. If - when anomalies are detected the receiver turns to transmitter, and a signal is sent into the brain to change its functioning . The A.I. detector would look for issues such as excessive fear and excessive anger in the patient and responsively modulate the brain activity. Real long term problems are that the contacts are perceived as a foreign object by the body and will be insulated over time. Second major problem is the brain is highly vascular, the brain can bounce a bit in the scull, and veins and arteries can rip or tear causing a cerebral aneurysm, or the exact placement can be lost. A smart AI might be able to adapt on the leads moving.
Hi! how can I get mesh viewer?