H2020Индивидуална стипендия2021–2023

Learning2Learn · Learning to Learn - Medial Prefrontal Cortex as Meta-Learning System in the Brain

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2021-04-01 → 2023-03-31
Финансиране от ЕС: 191 149 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Медалната префронтална кора се изследва, за да се разбере как мозъкът използва стари знания за бързото усвояване на нови умения. Това помага да се разбере механизмът, чрез който хората и животните се адаптират към променящата се среда.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Learning to Learn - Medial Prefrontal Cortex as Meta-Learning System in the Brain

Survival and adaptation to a changing environment is driven by the ability of animals and humans to utilise prior knowledge to quickly learn new behaviours (forward generalisation). However, the mechanism by which the brain combines old information with new input remains elusive. The EU-funded Learning2Learn project aims to elucidate the role of the medial prefrontal cortex in quick adaptation to new situations by forward generalisation. The proposed mechanism is inspired by a theoretical machine-learning framework for artificial neural networks and will be investigated by combining cutting-edge experimental techniques to unveil the brain's learning mechanism. The overall objectives of the project are to understand what information is conveyed from prefrontal cortex to sensory cortices and if and how this promotes forward generalisation.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

In a changing environment the ability to continually and rapidly learn new behaviors is crucial for humans and animals to survive. How the brain stores and integrates new information without forgetting (continual learning, CL) and utilizes prior knowledge to quickly adapt to new situations (fast forward generalization, FFG) remains a mystery. To shed light on this crucial question I propose a novel interdisciplinary approach that derives inspiration from a theoretical machine-learning approach for artificial neural networks (ANN) and simultaneously addresses FFG and CL. In this dual-network model, a so-called meta-network learns to identify the context for all previous tasks and modulates a second, stimulus-processing network, in a task/context specific manner to efficiently solve the task. As a result, similar task contexts elicit the selection of similar stimulus processing networks thereby enabling FFG. In the brain, the medial prefrontal cortex (mPFC) is known to receive contextual information (environment, setting), to store task information and to project to sensory areas. This makes it a promising candidate to function as a meta-network in the brain. In the proposed study, I will investigate if and how the mPFC affects sensory processing in a task-specific manner during CL and FFG, functioning as a meta-network. I will utilize cutting-edge experimental techniques including miniaturized microscopes in freely behaving mice to record neuronal populations in mPFC during FFG and CL combined with chemo- and optogenetic tools. To investigate how mPFC affects stimulus processing on the single neuron level, I will combine calcium and voltage imaging in brain slices. This interdisciplinary project will provide novel insights into the possible implementation of meta-learning in the brain to address CL and FFG. Completion of this innovative project in the multidisciplinary environment of my host lab will provide me with the ideal setting to reach scientific independence.

Оригинален текст от CORDIS (на английски).

Участници

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichКоординаторШвейцария