2 papers
cs.SD2025
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano +4
In this article, we explore the potential of using latent diffusion models, a family of powerful generative models, for the task of reconstructing naturalistic music from electroen…
q-bio.NC2024
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings
Taketo Akama, Zhuohao Zhang, Pengcheng Li +4
Recent studies have demonstrated that the representations of artificial neural networks (ANNs) can exhibit notable similarities to cortical representations when subjected to identi…