
Epiphany Machine
2024
Credits:
• Visual Art - Zach Duer
• Movement Performance - Scotty Hardwig & Julia Basso
• EEG Programming - Noor Tasnim, Benjamin Beiter
• Neuroscientists - Julia Basso, Daniel English
• Music - Scotty Hardwig
Publications:
Sponsored by:
Institute for Creativity, Arts and Technology at Virginia Tech
epiphany machine (2024) is a neuroballet for two subjects using live electroencephalography (EEG) to visualize the brain activity of dancers in a variety of performance states. Traditionally, the brain has been studied in stillness, but recent advances in Mobile Brain Body Imaging (MoBI) have enhanced our ability to study the moving brain of not only one but two or more individuals during interactive experiences. The resulting piece is a hybrid performance event, existing as both a concert work of dance and as a scientific study into the effects of dance on brain activity. It is an interdisciplinary, collaborative investigation into livestreaming and visualize the brain activity of dancers in a variety of choreographic tasks including meditative states with the eyes closed (affecting alpha oscillations), repetitive choreographic states (affecting beta oscillations), and spatial improvisations (affecting theta oscillations).
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5 minute trailer
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