MIT News - Artificial intelligence 前天 01:38
音乐与神经科学的交汇:一位学者的跨界探索
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

本文聚焦计算神经科学家兼音乐人Kimaya (Kimy) Lecamwasam的跨学科研究。她将对音乐的热爱与神经科学的严谨相结合,探索音乐在心理健康、情感共鸣以及人机交互中的作用。从个人经历出发,她将音乐视为自我表达和心理调适的重要途径,并以此为契机深入研究音乐对人类大脑和情感的深层影响。她的研究涵盖了“药物音乐学”、AI生成音乐的情感共鸣评估,以及音乐作为健康干预手段的临床验证,旨在开发非药物性的心理健康工具,并在社区建设和教育推广方面积极贡献。

🎼 **音乐作为情感表达与心理健康的桥梁**:Kimaya Lecamwasam的个人经历深刻体现了音乐在其生命中的核心地位。她将音乐视为早期克服羞怯和焦虑、进行自我表达和维护心理健康的关键方式。这种个人体验促使她深入探究音乐与情感健康的内在联系,并最终将研究方向引向了神经科学领域,以科学方法解析音乐为何能对人类产生如此强大的影响。

🧠 **神经科学与音乐交叉研究的实践**:在 Wellesley College 和 MIT Media Lab 的学习与研究经历中,Lecamwasam成功地将音乐与神经科学相结合。她曾参与大脑与认知科学实验室的研究,专注于麻醉状态下意识的分类及脑机接口假肢的训练。在研究生阶段,她更是将研究重点放在利用音乐的情感力量开发可扩展的、非药物性的心理健康工具,并探索了“药物音乐学”等前沿领域,旨在为焦虑症患者提供积极的生理和心理支持。

🎶 **AI音乐与人类情感共鸣的探索**:Lecamwasam目前的研究致力于评估AI生成音乐与人类创作音乐在情感共鸣上的差异。通过与Anna Huang教授的合作,她旨在识别更符合伦理且能保护人类创造力和自主性的情感敏感音乐生成和推荐应用,并将其作为潜在的健康干预手段。这项工作也延伸到大型现场音乐体验对观众和表演者心理健康的影响研究,以及与Myndstream等公司合作,探索AI音乐的临床应用。

🤝 **构建支持性社区与知识传播**:除了严谨的学术研究,Lecamwasam还积极投身于社区建设和知识推广。她曾共同领导健康与音乐工作坊,并在多个国际会议上展示其研究成果。她参与了Carnegie Hall等机构的合作项目,将研究成果应用于实际,例如评估摇篮曲创作对围产期健康的影响。同时,她还通过参与学生支持项目和建立同伴指导系统,致力于为新一代研究者提供支持,营造积极互助的学术氛围。

Computational neuroscientist and singer/songwriter Kimaya (Kimy) Lecamwasam, who also plays electric bass and guitar, says music has been a core part of her life for as long as she can remember. She grew up in a musical family and played in bands all through high school.

“For most of my life, writing and playing music was the clearest way I had to express myself,” says Lecamwasam. “I was a really shy and anxious kid, and I struggled with speaking up for myself. Over time, composing and performing music became central to both how I communicated and to how I managed my own mental health.”

Along with equipping her with valuable skills and experiences, she credits her passion for music as the catalyst for her interest in neuroscience.

“I got to see firsthand not only the ways that audiences reacted to music, but also how much value music had for musicians,” she says. “That close connection between making music and feeling well is what first pushed me to ask why music has such a powerful hold on us, and eventually led me to study the science behind it.”

Lecamwasam earned a bachelor’s degree in 2021 from Wellesley College, where she studied neuroscience — specifically in the Systems and Computational Neuroscience track — and also music. During her first semester, she took a class in songwriting that she says made her more aware of the connections between music and emotions. While studying at Wellesley, she participated in the MIT Undergraduate Research Opportunities Program for three years. Working in the Department of Brain and Cognitive Sciences lab of Emery Brown, the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience, she focused primarily on classifying consciousness in anesthetized patients and training brain-computer interface-enabled prosthetics using reinforcement learning.

“I still had a really deep love for music, which I was pursuing in parallel to all of my neuroscience work, but I really wanted to try to find a way to combine both of those things in grad school,” says Lecamwasam. Brown recommended that she look into the graduate programs at the MIT Media Lab within the Program in Media Arts and Sciences (MAS), which turned out to be an ideal fit.

“One thing I really love about where I am is that I get to be both an artist and a scientist,” says Lecamwasam. “That was something that was important to me when I was picking a graduate program. I wanted to make sure that I was going to be able to do work that was really rigorous, validated, and important, but also get to do cool, creative explorations and actually put the research that I was doing into practice in different ways.”

Exploring the physical, mental, and emotional impacts of music

Informed by her years of neuroscience research as an undergraduate and her passion for music, Lecamwasam focused her graduate research on harnessing the emotional potency of music into scalable, non-pharmacological mental health tools. Her master’s thesis focused on “pharmamusicology,” looking at how music might positively affect the physiology and psychology of those with anxiety.

The overarching theme of Lecamwasam’s research is exploring the various impacts of music and affective computing — physically, mentally, and emotionally. Now in the third year of her doctoral program in the Opera of the Future group, she is currently investigating the impact of large-scale live music and concert experiences on the mental health and well-being of both audience members and performers. She is also working to clinically validate music listening, composition, and performance as health interventions, in combination with psychotherapy and pharmaceutical interventions.

Her recent work, in collaboration with Professor Anna Huang’s Human-AI Resonance Lab, assesses the emotional resonance of AI-generated music compared to human-composed music; the aim is to identify more ethical applications of emotion-sensitive music generation and recommendation that preserve human creativity and agency, and can also be used as health interventions. She has co-led a wellness and music workshop at the Wellbeing Summit in Bilbao, Spain, and has presented her work at the 2023 CHI conference on Human Factors in Computing Systems in Hamburg, Germany and the 2024 Audio Mostly conference in Milan, Italy. 

Lecamwasam has collaborated with organizations near and far to implement real-world applications of her research. She worked with Carnegie Hall's Weill Music Institute on its Well-Being Concerts and is currently partnering on a study assessing the impact of lullaby writing on perinatal health with the North Shore Lullaby Project in Massachusetts, an offshoot of Carnegie Hall’s Lullaby Project. Her main international collaboration is with a company called Myndstream, working on projects comparing the emotional resonance of AI-generated music to human-composed music and thinking of clinical and real-world applications. She is also working on a project with the companies PixMob and Empatica (an MIT Media Lab spinoff), centered on assessing the impact of interactive lighting and large-scale live music experiences on emotional resonance in stadium and arena settings.

Building community

“Kimy combines a deep love for — and sophisticated knowledge of — music with scientific curiosity and rigor in ways that represent the Media Lab/MAS spirit at its best,” says Professor Tod Machover, Lecamwasam’s research advisor, Media Lab faculty director, and director of the Opera of the Future group. “She has long believed that music is one of the most powerful and effective ways to create personalized interventions to help stabilize emotional distress and promote empathy and connection. It is this same desire to establish sane, safe, and sustaining environments for work and play that has led Kimy to become one of the most effective and devoted community-builders at the lab.”

Lecamwasam has participated in the SOS (Students Offering Support) program in MAS for a few years, which assists students from a variety of life experiences and backgrounds during the process of applying to the Program in Media Arts and Sciences. She will soon be the first MAS peer mentor as part of a new initiative through which she will establish and coordinate programs including a “buddy system,” pairing incoming master’s students with PhD students as a way to help them transition into graduate student life at MIT. She is also part of the Media Lab’s Studcom, a student-run organization that promotes, facilitates, and creates experiences meant to bring the community together.

“I think everything that I have gotten to do has been so supported by the friends I’ve made in my lab and department, as well as across departments,” says Lecamwasam. “I think everyone is just really excited about the work that they do and so supportive of one another. It makes it so that even when things are challenging or difficult, I’m motivated to do this work and be a part of this community.”

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

音乐 神经科学 心理健康 AI音乐 情感共鸣 跨学科研究 Kimaya Lecamwasam Music Neuroscience Mental Health AI Music Emotional Resonance Interdisciplinary Research
相关文章