H2020Индивидуална стипендия2021–2023

AudiLearn · Deciphering the long-range modulation of neuronal networks in auditory-guided behavior learning

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

Период
2021-07-01 → 2023-07-14
Финансиране от ЕС
191 149 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Невронните мрежи в мозъка се променят, докато се учим да разпознаваме звуци, например птици или коли. Разбирането на този процес помага за по-доброто изясняване на състояния като аутизъм или шизофрения, при които обработката на сетивната информация е нарушена.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Deciphering the long-range modulation of neuronal networks in auditory-guided behavior learning

Throughout our life we learn to identify sounds in our environment like birds, cars or accents. This is crucial to adapt our behavior in different context. The neuronal circuits allowing such a learning were not yet understood. The aim of our project was to decipher how neuronal activity is modulated by learning. Moreover, it was to better understand what was the influence of higher-order brain areas in this process and how local inhibitory neurons modulates this influence. We discovered that inhibitory neurons show a progressive reduction of their activity over learning. This is mostlikely necessary to allow for the input from higher-order brain areas to increase and facilitate learning. These findings are crucial for the neuroscience community but also could help to better understand pathologies characterised by sensory processing alterations such as schizophrenia or autism.

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

Цел на проекта

Interpretation of external stimuli is essential for us to interact properly with our environment. In this context, sound is a major sensory information that takes part in social interaction but also alerts of dangers. Auditory stimuli are integrated by stereotyped neuronal circuits where inhibitory neurons play a key regulatory role. These circuits can be modulated for example by learning which allow a better reaction in sensory-guided behaviors. It has been recently suggested that higher-order brain areas feedbacks onto primary sensory cortices are essential in these learning processes as they modulate primary sensory circuits. Yet, less is known about long-range circuits involved in learning processes which allows the animal to respond more precisely to auditory stimuli. The objectif of AudiLearn is to disentangle how higher-order brain areas influence auditory learning. My working hypothesis is that long-range modulation of auditory cortex neurons is reinforced during learning in order to increase their response accuracy. Therefore, AudiLearn aims at (i) identifying neuronal subpopulations of the primary auditory cortex that present changes of activity with learning using in-vivo electrophysiological recordings of neuronal activity in the auditory cortex and optogenetics during an auditory discrimination task in mice, (ii) detect long-range projections onto these neurons using rabies-virus based monosynaptic retrograde tracing and finally (iii) modulate these long-range presynaptic neurons with optogenetics to decipher their role in modulating sensory coding during the auditory learning process. This project will bring a novel insight in auditory coding by identifying long-range modulators of the primary auditory cortex. More generally, it will increase our understanding of the learning-processes that occur in sensory cortices which can be impaired in pathological conditions such as in tinnitus, autism or schizophrenia.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз