3DNeuroN

Biomimiking the brain - towards 3D neuronal network dynamics

 Coordinatore TTY-SAATIO 

 Organization address address: Korkeakoulunkatu 10
city: Tampere
postcode: 33720

contact info
Titolo: Ms.
Nome: Tuuli
Cognome: Raatikainen
Email: send email
Telefono: 358408000000

 Nazionalità Coordinatore Finland [FI]
 Totale costo 4˙092˙758 €
 EC contributo 3˙123˙093 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-C
 Funding Scheme CP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-07-01   -   2014-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TTY-SAATIO

 Organization address address: Korkeakoulunkatu 10
city: Tampere
postcode: 33720

contact info
Titolo: Ms.
Nome: Tuuli
Cognome: Raatikainen
Email: send email
Telefono: 358408000000

FI (Tampere) coordinator 0.00
2    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Janos
Cognome: Vörös
Email: send email
Telefono: +41 44 632 59 03

CH (ZUERICH) participant 0.00
3    FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

 Organization address address: Hansastrasse
city: MUNCHEN
postcode: 80686

contact info
Titolo: Ms.
Nome: Andrea
Cognome: Zeumann
Email: send email
Telefono: +49 89 1205 2723
Fax: +49 89 1205 7534

DE (MUNCHEN) participant 0.00
4    TAMPEREEN YLIOPISTO

 Organization address address: Kalevantie
city: TAMPERE
postcode: 33014

contact info
Titolo: Ms.
Nome: Susanna
Cognome: Airila
Email: send email
Telefono: +358 3 3551 6367
Fax: +358 3 3551 8970

FI (TAMPERE) participant 0.00
5    TECHNISCHE UNIVERSITAET ILMENAU

 Organization address address: EHRENBERGSTRASSE
city: ILMENAU
postcode: 98693

contact info
Titolo: Mr.
Nome: Thomas
Cognome: MIROW
Email: send email
Telefono: +49 3677 69 2555
Fax: +49 3677 69 1596

DE (ILMENAU) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

biological    structures    neuronal    dynamics    neural    networks    types    layered    computational    stem    bio    cell    interactions    human    actual    model    network    ict    vitro    cells   

 Obiettivo del progetto (Objective)

Our view is that the biological and computational components and the concepts of realized BIO-ICT interactions have lacked so far the complexity of the actual high level biological neural systems. Our vision is that three key features are needed for biological computational neuronal networks: 1. Actual 3D structures of neuronal cells and networks, 2. interactions between various types of neuronal cells, and finally, 3. organized layered and patterned 3D microstructure of neuronal tissue.nWe aim to construct an in vitro model of a 3D neuronal network with layered biomaterial and multi-cell-type neural structure derived from human stem cells while stimulating and closely monitoring the evolution of cells and their connections. We will stimulate the novel 2D and 3D neuronal networks and layered structures also with modeled human auditory sensory inputs, and measure and model the responses and changes of the network topology and dynamics. With these we aim to reach the unproven concept of making the transition from neuronal 2D cultures to 3D controlled multi-cell-type neuronal structures in vitro that mimic the actual in vivo 3D development of neuronal dynamics and finally to reach a deeper understanding on the function of human 3D neuronal networks such as the cortical column.nThe proposal is based on cellular, biointerface, bioelectronics, and ICT technology. Novel stem cell and biomimetic technologies provide us a way to grow different human neural cell types for 3D neuronal networks. Novel biomaterials, microelectronics, and ICT modeling will provide the control and analysis power to see the functional dynamics of the constructs.nOur in vitro 3D model will provide a new level of elaboration. In addition to biological and clinical outcomes, the basic knowledge gained on the organization and functioning of the 3D neuronal cell networks have potential for applications in the discipline of artificial neuronal networks, and will result in BIO-ICT convergence.

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