Laminar-PL · Ultra-high field imaging of perceptual learning and human brain plasticity
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2019-04-01 → 2021-03-31
- Финансиране от ЕС
- 212 934 €
- Участници
- 1
- Схема
- MSCA-IF-EF-ST
Линиите свързват координатора с партньорите.
Накратко на български
Невронните механизми на сетивното обучение изследват как мозъкът се променя, за да подобрява точността на преценките си след тренировки. Разбирането на тази пластичност помага при създаването на програми за учене през целия живот и при възстановяването след мозъчни нарушения.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Ultra-high field imaging of perceptual learning and human brain plasticity
The human brain has extraordinary capacity to adapt to changes in noisy and variable environments. Learning and experience have been shown to shape critical functions of the adult brain to support our interactions in complex and dynamic environments. Investigating the brain mechanisms that mediate perceptual learning – that is, our ability to improve our performance when making perceptual judgments due to training – is at the core of understanding plastic brain changes. Understanding this learning-dependent plasticity not only has potential practical implications for designing training programmes for lifelong learning, but may also aid remediation and recovery in brain dysfunction. Objectives of the Ultra-high field imaging of perceptual learning and human brain plasticity (Laminar-PL) project have been to combine interdisciplinary methods to investigate the neural mechanisms that mediate perceptual learning. First, the Fellow has combined psychophysical experiments, machine learning and ultra-high field imaging to investigate the neural locus of learning-dependent brain plasticity after extensive training and test competing theories of learning (i.e., learning-dependent changes at early stages of information encoding vs. later stages of decision making). Second, he has used cutting-edge computational neuroimaging methods to demonstrate the computational processes underlying perceptual learning (e.g., feedforward vs. recurrent vs. feedback). Third, he has measured laminar connectivity across brain areas based on task-related measurements (i.e., how different brain areas work together) that supports behavioral improvement due to training. Beyond the neural mechanisms of perceptual learning, the Fellow has also combined these cutting-edge techniques and constructed a working protocol for laminar imaging data analyses, which will provide valuable insights into the future development of software for MRI data analysis (e.g. BrainVoyager developed by Brain Innovation-secondment partner). Another parallel goal of this MSCA Individual Fellowship is to foster the development of the individual researcher.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE · CAMBRIDGEКоординаторОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз