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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
HEДокторантска мрежа2022–2026

Lullabyte · Unravelling the Effects of Music on Sleep through Musicology, Neuroscience, Psychology and Computer Science

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

Период
2022-11-01 → 2026-10-31
Финансиране от ЕС
2 468 844 €
Участници
20
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите.

Накратко на български

Музикалните характеристики на приспивните песни и техният ефект върху мозъка се анализират чрез лабораторни тестове и записи от дома. Това помага да се разберат неврологичните механизми, които влияят върху качеството на съня и прехода от будно състояние към заспиване.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Unravelling the Effects of Music on Sleep through Musicology, Neuroscience, Psychology and Computer Science

Music exerts strong effects on the human brain, as evidenced by both subjective emotional reactions and overt changes in neurophysiology: lullabies are known in all cultures and times as an effective sleep aid for children and adults. However, there is still little scientific understanding how music and sounds affect the brain before and during sleep, and which musical or sonic qualities are particularly effective from both a subjective and an objective perspective. It hence requires a highly interdisciplinary approach that bridges the knowledge of musicology focusing on subjective music perception, cultural practice and historical contexts, and empirical neuroscience researching on measurable means of sound perception and sleep. In Lullabyte, a team of musicologists, neuroscientists, cognitive scientists, psychologists and computer scientists aim to elucidate the neural mechanisms underlying the sleep-inducing effects of music. For this, we analyse musical features and their effect on sleep quality by leveraging controlled laboratory studies, large sleep data sets from home recordings, and machine learning and data science strategies as well as asking for subjective impressions, cultural connections and expectation concerning music for sleep to elucidate which specific musical features affect sleep physiology. Within and based on this highly multidimensional and interdisciplinary research, we organise a comprehensive research and training program for the Lullabyte network on the intersection of sleep research, musicology and computer science. The doctoral network Lullabyte trains ten Doctoral Candidates in this radically interdisciplinary research field of music and sleep, in which they investigate the effects of music and sound on the brain’s transition from wakefulness to sleep and during sleep. The research projects hereby range from exploring neurophysiological details of auditory processing in the thalamico-cortical system over changes in sleep structure induced by different kinds of music, to psychological and musicological analyses, as well as developing machine learning strategies to analyze EEG and algorithmically generate novel, neuroscience-deduced music in real-time.

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

Цел на проекта

Music exerts strong effects on the human brain, as evidenced by both subjective emotional reactions and overt changes in neurophysiology: lullabies are known in all cultures and times as an effective sleep aid for children and adults. Musicology focuses traditionally on musical structures and cultural practice, a mutual interaction with empirical neuroscience is yet missing. The Lullabyte project will for the first time bring leading researchers from musicology, sleep research, neuroscience and computer science together to fill this gap. Within the project, ten Doctoral Candidates will be trained in a radically interdisciplinary research field, and acquire profound skills relevant for industry and the cultural sector. Leveraging state-of-the-art neuroscience laboratories, big sleep datasets gathered with wearable technology, and data science strategies, the Doctoral Candidates will investigate the effects of music on the brain’s transition from wakefulness to sleep, from neurophysiological details of auditory processing in the thalamico-cortical system over changes in sleep structure induced by different kinds of music, to psychological and musicological analyses. Moreover, machine-learning strategies will help to algorithmically generate novel, neuroscience-deduced music with particularly strong somnogenic effects. Beyond hands-on training in these research projects with multiple secondments between the ten consortium partners, summer schools and satellite events with active participation of trainers from innovative industry partners and artists will teach Doctoral Candidates complementary skills in technology transfer, entrepreneurship, medical device regulation and public outreach. As a whole, Lullabyte will train a new generation of interdisciplinary researchers, and thus provide the fast growing market of personalized, algorithmically generated music with both a firm scientific basis and the personnel to strengthen Europe’s position in such technologies.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз