Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

Deep Brain

Financiado

Deep Brain Decision Mechanisms in Deep Brain Networks

Making everyday life decisions is vital to our survival and relies as much on cerebral cortex as on regions that reside Deep in our Brain, namely the subcortex. Studies on networks connecting small nuclei in the Deep Brain with co... ver más

30/11/2025

UvA

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITEIT VAN AMSTERDAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-10-30

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

UvA

2.00M€ | Lider

FERTESA PATRIMONIO, S.L.

499.68K€ | 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

FIS2015-67876-P PROCESAMIENTO DE INCERTIDUMBRE EN EL CEREBRO: TOMA DE DECISI... 65K€ Cerrado

BFU2017-86026-R DINAMICA DE LOS CIRCUITOS NEURONALES DISTRIBUIDOS EN LA TOMA... 157K€ Cerrado

PRE2018-085192 DINAMICA DE LOS CIRCUITOS NEURONALES DISTRIBUIDOS EN LA TOMA... 93K€ Cerrado

PID2020-112838RB-I00 ESTRATEGIAS FLEXIBLES PARA LA INTEGRACION DE LA EVIDENCIA SE... 194K€ Cerrado

ChoiceSpace Task-relevant cognitive maps and their role in spatial decis... 1M€ Cerrado

PRE2018-083963 DINAMICA DE LOS CIRCUITOS NEURONALES DISTRIBUIDOS EN LA TOMA... 93K€ Cerrado

Duración del proyecto: 61 meses Fecha Inicio: 2020-10-30
Fecha Fin: 2025-11-30

Líder del proyecto

UNIVERSITEIT VAN AMSTERDAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Making everyday life decisions is vital to our survival and relies as much on cerebral cortex as on regions that reside Deep in our Brain, namely the subcortex. Studies on networks connecting small nuclei in the Deep Brain with cortical regions can provide key insights into learning, memory-guided, economic, and perceptual decision-making processes. However, the structural and functional organization of these processes is still incompletely understood, highlighting a knowledge gap in the field. The aim of this proposal is to reduce the gap in functional understanding by studying the mechanisms of different decision-making domains implemented in Deep Brain networks. The human brain consists of densely connected networks of interacting areas and nuclei, and while the cerebral cortex has been mapped with great precision, research on the human subcortex has been relatively sidelined (Forstmann et al., Nat Rev Neurosci, 2017). The subcortex contains hundreds of small grey matter nuclei, which take up approximately 1/4th of the entire human brain volume. Importantly, only approximately 7% of these nuclei are currently accessible in standard human brain magnetic resonance imaging (MRI) atlases. Major ongoing efforts in my group have focused on structural imaging of the subcortex, thereby removing an important technical barrier. These efforts have paved the way for functional studies on the role of Deep Brain in decision making as described in the current proposal. Ultra-high-field (UHF) 7Tesla (T) MRI and one of the three world-wide available Connectom MRI will be used to investigate decision mechanisms in Deep Brain networks. Three projects are proposed using a strong theory-driven and statistically high-powered model-based approach to combine beyond the-state-of-the-art techniques ranging from cognitive neuroscience, experimental psychology, to quantitative modeling.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores