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NEURONAL SYMPHONY
The project, neuronal symphony, transforms the in vivo neuronal data obtained from observation of pyramidal neurons to music signal to compose a "neuronal symphony" from a brand-new perspective.
Neurons expressed a novel genetically encoded calcium sensor in the CA1 region of the hippocampus in mice. At least 15 neurons were tracked within 3 mins in the hippocampal region of an awake mouse by using a one-photon microscope. We concertized the neuronal transmission by the melody to reveal and lead the general public to enjoy the beauty of science.
An optical window is designed and developed, which allows the observation of pyramidal neurons in the CA1 region of the hippocampus in mice. After implantation, a newly developed genetically encoded calcium sensor was injected under the window. Using a one-photon microscope, it can track at least 15 neurons within 3 minutes in the hippocampal region of an awake mouse.
Representative video clip of in vivo recording. (8X speed up)
Fluorescence tracing from 15 different Region of Interests (regarding to 15 neurons).
(Before normalization)
Fluorescence tracing from 15 different Region of Interests (regarding to 15 neurons).
(After normalization)
After the successful data obtainment, it would be further processed by programs: Definition of notation and some other characteristics for various neurons was finished first, and modified data transformed into a MIDI file done later, which provides an editable form for music arrangement. The conversion of edited data to the MIDI file includes audio characteristics, including a note's pitches, velocity and sound duration, and the instrument used for playing the notes.
Based on the MIDI file created, now it's the turn for the composer – by the MIDI file from programs, melodious electro music was created.
And....Voila!
What's Next?
In the future, we aim to explore and create more music genres for the audiences by actively communicating among all project members during the music arrangement period.
Fancier programming methods, including machine learning, are estimated to be applied in the future to bring up more inspiring and attractive music.
Contact us if you want to join!