Neuronal Music

This page provides audio files where neuronal activity is “visualized” by creating music. The music is created from neuronal spikes recorded extracellularly with multiple electrodes, either from the parietal cortex of awake and naturally-sleeping cats (taken from Destexhe et al., J. Neurosci, 1999), or from the temporal cortex of awake and naturally sleeping human subjects (taken from Peyrache et al., Proc. Natl. Acad. Sci. USA, 2012). We have made two types of neuronal music, a first “simple” type, consists of a direct translation of spike sequences into note sequences, as detailed in the Neuronal Melodies page. This type of musical animation is available for cat parietal cortex and human temporal cortex.

A second attemps was made more recenty, in collaboration with Luc Foubert (CNRS). In the Spikiss Project, we have created more elaborated music based on associations with multiple and sophisticated sounds. We also explained step by step how the conversion to music was made.A third direction, still in collaboration with Luc Foubert (CNRS), is the myWaves Project. Here, we have created elaborated music based on electro-encephalogram (EEG) recordings of sleeping subjects. This makes use of a new technique called NeuroAcoustic Transduction.

We are presently continuing to work on the Spikiss and myWaves projects, using respectively spike and EEG recordings.

Copyright note:

We decided to distribute this music freely, under the protection of a Creative Commons Licence “share alike non commercial” (see below). This means that you are welcome to share and edit the present work, under the condition that you give us proper acknowledgment, and also distribute it freely (and give us a copy!). No commercial application please, unless we have an agreement. The official licence information is pasted below:

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
You are free to copy, distribute, display, and perform the work, as well to make derivatives based on this work, but under conditions that:
(1) the authors are acknowledged,
(2) that no commercial use is made, and
(3) that the same “Share Alike” licence is given to any use ofthis work.