Opendata, web and dolomites

NEUROCLOUD

A neural network builder with remotely controlled parallel computing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 NEUROCLOUD project word cloud

Explore the words cloud of the NEUROCLOUD project. It provides you a very rough idea of what is the project "NEUROCLOUD" about.

integrate    requiring    explore    mobile    arbitrary    strategy    interface    glia    industrial    force    version    controls    investigator    environment    connections    networks    kernel    wired    cellular    exploring    architectural    affords    feasibility    brain    untrained    budgeting    small    file    biophysical    independent    conceptual    portable    exchange    uniquely    passed    suitable    internet    aleksin    et    industry    computer    commercial    substantial    driving    viability    console    network    cloud    github    inter    position    incorporates    explorers    construct    computational    configured    market    com    al    flexible    exploration    neuroscience    cluster    standard    skills    intelligence    ipr    complexity    remote    2017    facilities    local    device    simulations    specs    arachne    programing    initial    transmitted    licensing    upgrade    reflect    usually    diffuse    scientific    human    https    installed    engages    experts    leonidsavtchenko    latest    plan    filed    tool    novelty    line    signalling    comp    netsignal    plos    competitors    biology    volume    provisions    artificial    press    neural   

Project "NEUROCLOUD" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 148˙550 €
 EC max contribution 148˙550 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2019-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 148˙550.00

Map

 Project objective

Neural network simulations have been a driving force behind our advances in the artificial intelligence filed, but also a key tool in our understanding of the human brain. However, exploring such networks usually engages substantial computational resources requiring specific programing skills and dedicated facilities. In our main project NETSIGNAL, we have developed computational environment ARACHNE aiming to facilitate high-end neural network exploration among scientific and industrial users. ARACHNE enables an investigator to construct and explore cellular networks of arbitrary biophysical and architectural complexity using a simple interface on a local computer or a mobile device. Through small-file exchange via the internet, the interface controls a pre-configured computational kernel installed on a remote computer cluster or cloud. Uniquely, ARACHNE can integrate traditional wired network connections with diffuse, volume-transmitted type of inter-cellular signalling, to reflect the emerging role of glia in brain processing. ARACHNE thus affords a flexible neural network design and incorporates latest advances in neuroscience while providing a portable console suitable for IT-untrained explorers. ARACHNE has passed a feasibility and novelty test by independent experts (Aleksin et al, PLoS Comp Biology 2017, in press), its test version is available on-line (https://github.com/LeonidSavtchenko/Arachne/). Our goal here is to determine market potential and the commercial viability of ARACHNE and its conceptual design, but also to establish industry-standard provisions for its commercial exploitation. We plan: (a) to upgrade ARACHNE technical specs, interface, support, etc. to the industry standard; (b) to assess the market and the competitors; (c) to determine IPR position and strategy, (d) to explore budgeting and further funding strategy, (e) to establish initial provisions for its distribution and/or licensing of ARACHNE.

 Publications

year authors and title journal last update
List of publications.
2018 Leonid P. Savtchenko, Lucie Bard, Thomas P. Jensen, James P. Reynolds, Igor Kraev, Nikolay Medvedev, Michael G. Stewart, Christian Henneberger, Dmitri A. Rusakov
Disentangling astroglial physiology with a realistic cell model in silico
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-05896-w
Nature Communications 9/1 2019-08-30
2018 Kaiyu Zheng, Thomas P Jensen, Dmitri A Rusakov
Monitoring intracellular nanomolar calcium using fluorescence lifetime imaging
published pages: 581-597, ISSN: 1754-2189, DOI: 10.1038/nprot.2017.154
Nature Protocols 13/3 2019-08-30
2019 Thomas P. Jensen, Kaiyu Zheng, Nicholas Cole, Jonathan S. Marvin, Loren L. Looger, Dmitri A. Rusakov
Multiplex imaging relates quantal glutamate release to presynaptic Ca2+ homeostasis at multiple synapses in situ
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-09216-8
Nature Communications 10/1 2019-08-30
2019 James P. Reynolds, Kaiyu Zheng, Dmitri A. Rusakov
Multiplexed calcium imaging of single-synapse activity and astroglial responses in the intact brain
published pages: 26-32, ISSN: 0304-3940, DOI: 10.1016/j.neulet.2018.06.024
Neuroscience Letters 689 2019-08-30

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NEUROCLOUD" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "NEUROCLOUD" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

HyperBio (2019)

Vis-NIR Hyperspectral imaging for biomaterial quality control

Read More  

BALANCE (2019)

Mapping Dispersion Spectroscopically in Large Gas-Phase Molecular Ions

Read More  

EASY-IPS (2019)

a rapid and efficient method for generation of iPSC

Read More