Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

BRAINBOW

Financiado

Cerrado

Linking biological and artificial neuronal assemblies to restore lost brain func...

Linking biological and artificial neuronal assemblies to restore lost brain functions towards the design of innovative bi directional neuroprostheses The possibility to control actions from thoughts is becoming reality thanks to Brain Machine Interfaces (BMIs). However modern BMIs are mostly unidirectional and aimed at restoring lost motor functions. In a wider perspective, neu... ver más

31/05/2015

IIT

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-05-31 No tenemos la información de la convocatoria

0% 76% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

6 Participantes

IIT

0.00€ | Lider

CNRS

N.D. | Participante

Bordeaux INP

N.D. | Participante

TAU

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

NEMO BMI Auto-adaptive Neuromorphic Brain Machine Interface: toward f... 4M€ Cerrado

IJC2020-044467-I Neuroprostheses and human-machine interfaces for neurologica... 98K€ Cerrado

NEUROPLAST Implementation of a Novel Brain Machine Interface to Restore... 265K€ Cerrado

MoRPHEUS Motor Rehabilitation Plasticity Hacking by Engineered stimul... 183K€ Cerrado

NEUWalk Neuroprosthetic interface systems for restoring motor functi... 11M€ Cerrado

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The possibility to control actions from thoughts is becoming reality thanks to Brain Machine Interfaces (BMIs). However modern BMIs are mostly unidirectional and aimed at restoring lost motor functions. In a wider perspective, neural interfaces must be bi-directional devices that substitute motor, sensory or cognitive circuits within the brain, that might have been damaged as a result of an injury or a disease. The project goes towards this direction: it will provide the knowledge to realize a new class of neuroprostheses aimed at treating those diseases where a portion of brain tissue is damaged (e.g. lesion). The ultimate goal of the project is to connect in vitro neuronal assemblies to an artificial system (a neuromorphic chip) which aims at restoring the lost neuronal functionality, with the long-term perspective to be implanted in humans affected by invalidating brain diseases. This will allow us to reach three main scientific objectives: (i-DECODING) improve the performance of BMIs by investigating optimal decoding schemes to extract useful information by multisite acquisitions from neuronal assemblies; (ii-PROCESSING) provide an artificial link between two previously connected assemblies by designing computational models (sw and hw) which mimic the behavior of the injured part of the network; (iii-CODING) design new strategies by developing stimulation protocols aimed at effectively sending appropriate information to cell assemblies. These goals will be reached by using an engineering approach to neuroscience: a fully controlled and measurable experimental system where the 'biological' neural element will be investigated at different levels of anatomical complexity: from random, unstructured circuits up to the intact brain. Thanks to this approach we will be able to exploit the peculiarity of each biological model to study different coding/decoding schemes in order to optimize the performance of advanced neuroprostheses.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores