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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.

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

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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