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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.

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

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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