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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.

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

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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