Brain Activity Map Project

Résumé

thumb|Annonce officielle du projet en avril 2013 Le Brain Activity Map Project (aussi appelé BRAIN Initiative : Brain Research through Advancing Innovative Neurotechnologies) est un projet de recherche public-privé annoncé par l'administration Obama le 2 avril 2013 ayant pour objectif d'accélérer le développement et les applications de technologies innovatrices pour améliorer la compréhension du cerveau humain. Le projet est basé sur le même principe que le Projet génome humain. Il vise notamment à aider les chercheurs à comprendre les troubles neurologiques, comme la maladie d'Alzheimer, la maladie de Parkinson, la dépression et les lésions cérébrales traumatiques. Le budget prévu pour la première année (2014) est de 100 millions de $. Contexte Le projet fait suite à un certain nombre de projets et de travaux précédents parmi lesquels on peut citer les réunions de planification des Instituts nationaux de la santé (National Institutes of Health) qui avaient conduit à un pre

Source officielle

https://fr.wikipedia.org/wiki/Brain_Activity_Map_Project

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Reconstructing the brain: from image stacks to neuron synthesis

Sean Lewis Hill, Julian Charles Shillcock

Large-scale brain initiatives such as the US BRAIN initiative and the European Human Brain Project aim to marshall a vast amount of data and tools for the purpose of furthering our understanding of brains. Fundamental to this goal is that neuronal morphologies must be seamlessly reconstructed and aggregated on scales up to the whole rodent brain. The experimental labor needed to manually produce this number of digital morphologies is prohibitively large. The BigNeuron initiative is assembling community-generated, open-source, automated reconstruction algorithms into an open platform, and is beginning to generate an increasing flow of high quality reconstructed neurons. We propose a novel extension of this workflow to use this data stream to generate an unlimited number of statistically equivalent, yet distinct, digital morphologies. This will bring automated processing of reconstructed cells into digital neurons to the wider neuroscience community, and enable a range of morphologically- accurate computational models.

2016

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How do we know what we know? Discovering neuroscience data sets through minimal metadata

Sean Lewis Hill

With the emergence of brain research initiatives around the world, the need for standards to facilitate neuroscience data sharing is growing. A crucial first step will be to establish a minimal metadata standard that allows the discovery of and access to similar or related data sets. This will be a key element of an open neuroscience-data ecosystem in which data is valued, preserved and reused.

2016

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Neuroscience thinks big (and collaboratively)

Henry Markram

Despite cash-strapped times for research, several ambitious collaborative neuroscience projects have attracted large amounts of funding and media attention. In Europe, the Human Brain Project aims to develop a large-scale computer simulation of the brain, whereas in the United States, the Brain Activity Map is working towards establishing a functional connectome of the entire brain, and the Allen Institute for Brain Science has embarked upon a 10-year project to understand the mouse visual cortex (the MindScope project). US President Barack Obama's announcement of the BRAIN Initiative (Brain Research through Advancing Innovative Neurotechnologies Initiative) in April 2013 highlights the political commitment to neuroscience and is expected to further foster interdisciplinary collaborations, accelerate the development of new technologies and thus fuel much needed medical advances. In this Viewpoint article, five prominent neuroscientists explain the aims of the projects and how they are addressing some of the questions (and criticisms) that have arisen.

Nature Publishing Group2013

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