Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

DendAssembly

Financiado

Cerrado

Dendrite assemblies as the core cortical computation module for continual motor...

Dendrite assemblies as the core cortical computation module for continual motor learning The cortex has the amazing capacity to continuously learn through experience while retaining past memories. But how does the cortical network implement this continual learning while avoiding interference and catastrophic overwriti... ver más

31/10/2029

TECHNION ISRAEL I...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

TECHNION ISRAEL INSTITUTE OF TECHNOLOGY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-11-01

ERC-2023-ADG: ERC ADVANCED GRANTS Scope:Objectives

I+D

Cerrada hace 1 año

0% 100%

Información adicional privada

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

Participantes

TECHNION ISRAEL INSTITUTE O...

Lider

Proyectos interesantes

DENDRITESONBORDERS

Applied Physics

Medical Technol...

183K€ Cerrado

FEAR-FRA

Applied Physics

Medical Technol...

100K€ Cerrado

incerta2cortex

Applied Physics

Medical Technol...

175K€ Cerrado

SPIKEHEAR

Applied Physics

Medical Technol...

1M€ Cerrado

CSIT

Applied Physics

Medical Technol...

86K€ Cerrado

SPACEBRAIN

Applied Physics

Medical Technol...

8M€ Cerrado

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

Duración del proyecto: 59 meses Fecha Inicio: 2024-11-01
Fecha Fin: 2029-10-31

Líder del proyecto

TECHNION ISRAEL INSTITUTE OF TECHNOLOGY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The cortex has the amazing capacity to continuously learn through experience while retaining past memories. But how does the cortical network implement this continual learning while avoiding interference and catastrophic overwriting of prior events? While cell assemblies with simple point neurons are thought to serve as the basic learning and storage units, this model poses major challenges in dynamic environments and lacks experimental support. Relying on strong preliminary results, I here propose a radically different view of learning and storage in the cortex—the dendrite assembly hypothesis—where the relevant memory units are the “hidden layer” of dendritic branches. Namely, each neuron operates as a small network, with different dendrite assemblies representing different tasks and driving the soma. The dendrite assembly model augments the cell assembly model, potentially alleviating problems of interference, sparsity and capacity. We will test the dendrite assembly hypothesis in the mouse motor cortex, where learning is perpetual and coding is dense. This will entail determining dendritic and somatic representations during continual learning, thus deciphering the core learning units of the network (Aim1), the pathways (Aim2) and structural plasticity (Aim3) that enable dendrite assembly formation and learning; and the consequences of the dendrite assembly model for the pathogenesis of Parkinson’s disease (Aim4). We will record from somas, dendrites and spines of pyramidal tract neurons at single-cell and population levels with unprecedented spatiotemporal resolution, using state-of-the-art in-vivo imaging, a novel behavioral design, and an analysis platform we developed. Our results are expected to transform our view of how cortical neurons represent multiple motor memories in the healthy and Parkinsonian brain, open avenues for developing novel treatment modalities for Parkinson’s disease and inspire new artificial intelligence network architectures.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores