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VISONby3DSTIM SIGNED

Restoration of visual perception by artificial stimulation performed by 3D EAO microscopy

Total Cost €

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EC-Contrib. €

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Partnership

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 VISONby3DSTIM project word cloud

Explore the words cloud of the VISONby3DSTIM project. It provides you a very rough idea of what is the project "VISONby3DSTIM" about.

suggest    roi    300    restore    khz    entire    units    behaving    responds    assemblies    of    optogenetic    connectivity    stimulation    form    grant    patterns    electro    mapped    deflectors    neuronal    tools    computation    simultaneously    strategies    microscopes    500    neurons    artificial    map    cell    3d    biologically    ao    prosthetic    animal    perceptions    reactivate    subjective    preserving    see    orienting    neural    labyrinth    animals    reward    subcellular    somatic    efficiency    ultra    ms    thereby    mice    technologies    mapping    axonal    fast    virtual    photositmulation    sense    microscope    perception    functional    feasibility    combination    elicit    clusters    photon    acousto    navigation    optical    cortical    sensory    scanning    relates    fold    neurotransmitters    spatial    25    precise    previously    resolution    stimulus    recreating    publications    moving    proof    activation    restrained    investigation    manner    assembly    speed    throughput    microscopy    understand    magnitude    dendritic    question    photoactivate    caged    region    larger    v1    faster    visual    head    cortex   

Project "VISONby3DSTIM" data sheet

The following table provides information about the project.

Coordinator
INSTITUTE OF EXPERIMENTAL MEDICINE - HUNGARIAN ACADEMY OF SCIENCES 

Organization address
address: Szigony utca 43
city: Budapest
postcode: 1083
website: www.koki.hu

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 Hungary [HU]
 Project website http://erc.twophotonimaging.eu
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2021-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTE OF EXPERIMENTAL MEDICINE - HUNGARIAN ACADEMY OF SCIENCES HU (Budapest) coordinator 2˙000˙000.00

Map

 Project objective

The long-term aim of the investigation is to assess the feasibility of creating an “artificial sense” and, thereby, a possible sensory (visual) prosthetic. While working towards this goal, we will have to address the question of how neural assembly activity relates to subjective perceptions. Finding and understanding these functional assemblies will make it possible to reactivate them in a precise, biologically relevant manner to elicit similar cortical activation as visual stimulation. Recent publications suggest that cortical connectivity can be mapped by two-photon microscopy. Here we want, therefore, to develop a novel 3D Electro-Acousto-Optical microscope for high-throughput assembly mapping. The microscope will be capable of scanning neuronal activity with one order of magnitude higher speed (300-500 kHz/ROI) and simultaneously photoactivate neurons with three order of magnitude higher efficiency (2,500 – 25,000 neurons/ms) than existing 3D microscopes while preserving the subcellular resolution required to simultaneously measure the somatic, the dendritic and axonal computation units in the entire V1 region of the cortex. The microscope will be based on our current 3D AO technology; on novel ultra-fast scanning technologies; new, 10-fold faster AO deflectors; and novel (multi-ROI) scanning strategies. Using our microscope in combination with novel caged neurotransmitters and optogenetic tools, we want to map cell assemblies and to understand how they form larger clusters and how they are associated with visual features. Furthermore, as a proof-of-concept of this grant, we want to restore visual perception by recreating previously mapped assembly patterns with 3D artificial photositmulation in behaving mice and see if the animal responds to the artificial stimulus in the same way as to the visual stimulus. Moreover, we want to restore visual information based spatial navigation in head restrained animals orienting and moving in a virtual labyrinth for reward.

 Publications

year authors and title journal last update
List of publications.
2016 Gergely Szalay, Linda Judák, Gergely Katona, Katalin Ócsai, Gábor Juhász, Máté Veress, Zoltán Szadai, András Fehér, Tamás Tompa, Balázs Chiovini, Pál Maák, Balázs Rózsa
Fast 3D Imaging of Spine, Dendritic, and Neuronal Assemblies in Behaving Animals
published pages: 723-738, ISSN: 0896-6273, DOI: 10.1016/j.neuron.2016.10.002
Neuron 92/4 2019-05-27
2017 Daniel Hillier, Michele Fiscella, Antonia Drinnenberg, Stuart Trenholm, Santiago B Rompani, Zoltan Raics, Gergely Katona, Josephine Juettner, Andreas Hierlemann, Balazs Rozsa, Botond Roska
Causal evidence for retina-dependent and -independent visual motion computations in mouse cortex
published pages: 960-968, ISSN: 1097-6256, DOI: 10.1038/nn.4566
Nature Neuroscience 20/7 2019-05-27
2018 Dénes Pálfi, Balázs Chiovini, Gergely Szalay, Attila Kaszás, Gergely F. Turi, Gergely Katona, Péter Ábrányi-Balogh, Milán Szőri, Attila Potor, Orsolya Frigyesi, Csilla Lukácsné Haveland, Zoltán Szadai, Miklós Madarász, Anikó Vasanits-Zsigrai, Ibolya Molnár-Perl, Béla Viskolcz, Imre G. Csizmadia, Zoltán Mucsi, Balázs Rózsa
High efficiency two-photon uncaging coupled by the correction of spontaneous hydrolysis
published pages: 1958-1970, ISSN: 1477-0520, DOI: 10.1039/C8OB00025E
Organic & Biomolecular Chemistry 16/11 2019-05-27
2016 Thomas Deneux, Attila Kaszas, Gergely Szalay, Gergely Katona, Tamás Lakner, Amiram Grinvald, Balázs Rózsa, Ivo Vanzetta
Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
published pages: , ISSN: 2041-1723, DOI: 10.1038/ncomms12190
Nature Communications 7/1 2019-05-27

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