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NEUROCLOUD

A neural network builder with remotely controlled parallel computing

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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

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

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