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Ultra high field imaging of perceptual learning and human brain plasticity

Learning and experience shape key cognitive functions of the adult human brain and support our ability to interact in complex and dynamic environments. Yet, the brain mechanisms that support our ability to learn from cluttered and... ver más

31/03/2021

THE CHANCELLOR MAS...

213K€

Presupuesto del proyecto: 213K€

Líder del proyecto

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UN... 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 2021-03-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

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2 Participantes

THE CHANCELLOR MASTERS AND S...

212.93K€ | Lider

ARCHIVEL FARMA

725.67K€ | Participante

Últimas noticias

30-11-2024: Cataluña Gestión For... Se ha cerrado la línea de ayuda pública: Gestión Forestal Sostenible para Inversiones Forestales Productivas para el organismo:

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Duración del proyecto: 24 meses Fecha Inicio: 2019-03-20
Fecha Fin: 2021-03-31

Presupuesto del proyecto 213K€

Descripción del proyecto Learning and experience shape key cognitive functions of the adult human brain and support our ability to interact in complex and dynamic environments. Yet, the brain mechanisms that support our ability to learn from cluttered and inherently ambiguous sensory information and improve our perceptual decisions with training remain largely unknown. My proposal aims to investigate: (i) the neural basis of perceptual learning in the human visual cortex (ii) the neural computations that underlie perceptual learning and (iii) the brain connectivity (i.e. how different brain areas work together) that supports behavioural improvement due to training. To achieve this, I will combine behavioural paradigms measuring perceptual learning, ultra high-field 7T imaging of brain activations at the finer scale of laminar layers (i.e. across cortical depth) and state-of-the-art computational modelling. This integrated multidisciplinary approach will contribute significantly to our knowledge of how the brain optimises its capacity for adaptive behaviour through learning and experience. Further the proposed work has potential practical implications for the design of education and rehabilitation training programmes in life-long development and disease. Finally, this interdisciplinary research experience boosted by collaborations with industrial partners will benefit greatly my career development to an independent researcher in the field of computational cognitive neuroscience.

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