This $598,703 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant aims to elucidate the computational and neural mechanisms underlying musical enculturation - how people spontaneously engage with and learn the musical structures of unfamiliar cultures. The research involves implementing a series of behavioral, neuroimaging, and neurophysiology...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $619,951 to the University of Rochester to study how the human brain encodes and processes the perception of song. The project leverages advanced experimental methods, including functional MRI and intracranial recordings from neurosurgical patients, to better understand the neural mechanisms underlying song perception. The research aims to differentiate...
This $401,918 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research by the University of Rochester to investigate neural mechanisms underlying how the brain processes complex sounds like speech and music across different timescales. The key objectives are to use computational models and neural recordings from auditory cortex to understand the brain's flexible integration of sound information over...
This $386,139 National Science Foundation project grant supports the development of an ecosystem to empower musicians through artificial intelligence-enabled music production tools. Funded under the NSF Engineering program (CFDA 47.041), the four-year award to Northwestern University will create an open-source software framework and initiatives allowing musicians and AI researchers to collaborate on improving AI music creation tools. The framework will facilitate deployment of new AI models...
This Project Grant from the National Science Foundation (NSF) provides $1.4 million to support the "Toward an Ecosystem of Artificial Intelligence-Powered Music Production (TeamUp)" project under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The University of Rochester leads the effort to build foundations for a new ecosystem empowering musicians to leverage artificial intelligence (AI) tools in music creation, performance, and distribution. Key...
Northeastern University received a $527,350 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year award will support research activities to better understand the relationship between creativity, innovation, and expectancy violations. Researchers will study participants creating fictional stories and melodies in response to music cues. Natural...
This $900,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences Program (CFDA 47.075) with a period of performance from September 15, 2023 to August 31, 2026. The award supports the development of an AI platform to analyze a student's violin playing during individual practice sessions. The platform will provide feedback on posture, bow movements, sound quality, and curricular...
This Project Grant award of $250,000 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research at the State University of New York at Binghamton to investigate the role of the cortico-striatal system in implicit sound category learning. The project aims to determine how rhythmic presentation of new sound categories can engage the brain's reward system to enhance adults' ability to learn new speech sounds. The research will use...
This Project Grant award of $225,307 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to understand how the brain extracts meaning from sounds and integrates this information with other senses, primarily vision. The project aims to test a hypothesis about auditory semantic alignment, which proposes that cortical areas specialize in processing particular categories of sounds and pass that information to a broader amodal...
This two-year, $200,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research to develop new approaches for integrating domain knowledge into deep learning models. Specifically, the awardee, the Research Foundation of the City University of New York for Brooklyn College, will demonstrate the value of incorporating domain expertise into structured...