Abstract: Beat processing is a critical component of how humans experience music and a core topic in Music Information Retrieval (MIR). In this study we investigate relationships between computational features and human perception using real-world music spanning a variety of rhythmic categories. We observe a significant relationship between pulse clarity computed from the audio and inter-subject correlation of the neural responses. This finding suggests promising future lines of investigation integrating MIR audio features, neural correlation, and subjective behavioral reports in understanding beat processing and representation.