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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.

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

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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