Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

RESILI-ANT

Financiado

Cerrado

Ant navigation: understanding the resilience and self-developing nature of mini-...

Ant navigation: understanding the resilience and self-developing nature of mini-brains in interaction with their environment. Organisms differ from machines in their resilience: their capacity to spontaneously recover from defects. This is because organisms, contrary to machines, are self-developing systems that change over time, like ‘a melody that sing... ver más

31/12/2029

CNRS

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... 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 2025-01-01

ERC-2023-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

0% 100%

Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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

Participantes

CNRS

Lider

Proyectos interesantes

EMERG-ANT

Robotics and Au...

Applied Physics

1M€ Cerrado

PID2019-111680GB-I00

Applied Physics

Robotics and Au...

169K€ Cerrado

RIDING

Applied Physics

Robotics and Au...

2M€ Cerrado

EvolvingCircuits

Applied Physics

Robotics and Au...

2M€ Cerrado

ANT NAVIGATION

Robotics and Au...

Applied Physics

222K€ Cerrado

DPI2015-65833-P

Applied Physics

Robotics and Au...

137K€ 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: 2025-01-01
Fecha Fin: 2029-12-31

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Organisms differ from machines in their resilience: their capacity to spontaneously recover from defects. This is because organisms, contrary to machines, are self-developing systems that change over time, like ‘a melody that sings itself’. The plastic mechanisms that enable animal and human self-development and resilience is barely known, but understanding them would profoundly impact how we apprehend brains, behaviours and their evolution. RESILI-ANT will tackle this question using the stunning ability of solitary foraging ants to visually navigate in complex environments. Ant navigational behaviours develop through stages with strong learning components, and can recover from sensory-motor alterations that would disable any machine. The advantage is that the full ontogeny of these behaviours unfolds in a couple of days, can be easily manipulated, and involves a brain numerically much simpler and better-known than any vertebrate. We will combine an ecological approach, complexity science and modelling with state-of-the-art technologies to dissect the mechanisms underlying these behavioural developmental processes. We will track ant ontogeny under different scenarios; perform straightforward manipulations to disclose the underlying rules; and use virtual reality to probe their ability to compensate for severe sensory-motor defects. In parallel, we will explore how these processes are implemented – in the light of our ever-increasing knowledge of insect circuits – by augmenting our current neural models with network plasticity and recurrent connections between brain areas. The evolutionary causes and consequences of such plastic neural topologies will be investigated using neuro-evolution algorithms selecting for self-developing agents that forage in reconstructed environments. The dialogue between simulations and observation will move us towards a concrete understanding of the self-developing nature, and their fundamental and societal impact.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores