Explore the words cloud of the NEUROCLOUD project. It provides you a very rough idea of what is the project "NEUROCLOUD" about.
The following table provides information about the project.
UNIVERSITY COLLEGE LONDON
|Coordinator Country||United Kingdom [UK]|
|Total cost||148˙550 €|
|EC max contribution||148˙550 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2017-09-01 to 2019-02-28|
Take a look of project's partnership.
|1||UNIVERSITY COLLEGE LONDON||UK (LONDON)||coordinator||148˙550.00|
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.
|year||authors and title||journal||last update|
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|
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|
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|
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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