Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

LOCOLEARN

Financiado

Cerrado

Cerebellar circuits for locomotor learning in space and time

Every movement we make requires us to coordinate our actions precisely in space and time. This proposal aims to understand how that remarkable coordination is achieved by neural circuits controlling movement. The cerebellum plays... ver más

30/04/2025

FUNDACAO CHAMPALIM...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR.... 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 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-04-10

ERC-2019-COG: ERC Consolidator Grant

I+D

Cerrada hace 5 años

0% 100% 100%

Información adicional privada

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

2 Participantes

FUNDACAO CHAMPALIMAUD

2.00M€ | Lider

DISEÑO DE SISTEMAS EN SILICI...

233.74K€ | 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

IP2adapt Cell-specific functional connectivity of cerebellar outputs... 157K€ Cerrado

SuperLoco Supervised mechanisms for locomotor learning in the cerebell... Cerrado

Learn2Walk Brain meets spine the neural origin of toddler s first step... 1M€ Cerrado

SpiLearn Characterization of spinal learning in a repetitive yet skil... 176K€ Cerrado

DEP2017-87384-R ESTUDIO DE LOS EFECTOS DE LA COMBINACION DE EJERCICIO FISICO... 89K€ Cerrado

LOCOMOUSE Cerebellar circuit mechanisms of coordinated locomotion in m... 1M€ Cerrado

Duración del proyecto: 60 meses Fecha Inicio: 2020-04-10
Fecha Fin: 2025-04-30

Líder del proyecto

FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR.... 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 Every movement we make requires us to coordinate our actions precisely in space and time. This proposal aims to understand how that remarkable coordination is achieved by neural circuits controlling movement. The cerebellum plays a critical role in keeping movements calibrated and coordinated, and it is thought to do this in part through a motor learning process in which predictable perturbations of movement are gradually compensated. Cerebellum-dependent forms of motor learning have been identified for a variety of behaviors, including locomotion, and locomotor learning is used as a rehabilitative therapy in human patients. We recently established locomotor learning in mice, using a custom-built, transparent split-belt treadmill that controls the speeds of the two sides of the body independently and allows for high-resolution behavioral readouts. Here, we will combine quantitative analysis of locomotor behavior with genetic circuit dissection to answer two fundamental questions: How are cerebellar outputs read out by downstream circuits, to calibrate spatial and temporal components of movement? and How are instructive signals for spatial and temporal learning encoded by cerebellar inputs? Specifically, we will: 1) Use circuit tracing combined with manipulation of specific cerebellar outputs to identify downstream pathways for spatial and temporal locomotor learning, 2) Investigate the role of error signals for cerebellar learning via optogenetic perturbation of climbing fiber inputs to the cerebellum, and 3) Image complex spike activity from populations of Purkinje cells during locomotion and learning, to ask how spatial and temporal error signals are encoded within the cerebellum. These studies will allow us to bridge levels of analysis to understand how cerebellar learning mechanisms convert behaviorally-relevant sensorimotor error signals into calibration signals that ensure accurate and coordinated movements in space and time for a wide range of behaviors.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores