A MIDI sequencer based on a real time oscillating neural network
(c) Jaakko Prättälä 2019-2023, use as you wish.
Based on the ideas of motion patterns and the MINN-network in the doctoral thesis of Pauli Laine.
What is neuronSeq?
-- An implementation of a neural network that outputs MIDI data.
-- neuronSeq can be connected to send real time event data to anything that reads MIDI.
-- An exploration of the oscillation/resonance model of music and mind.
-- Whole lot of psychedelic fun.
What is required?
-- Programming language python, libraries rtmidi, tkinter, numpy and matplotlib Also, a MIDI router or interface and some syntheziser or drum machine, soft or hard.
-- Patience.
What does it do?
-- neuronSeq's NNote objects implement a class that mimic the actions of a nerve cell. They fire when a threshold is reached by an ever ascending activation counter. As NNote fires, a MIDI event is produced and activation is reset to 0.0. NNotes can be connected to other NNotes. Connected NNotes modulate each other's activation value via a weighed connection to create simultaneous (positive weight in connection) or fluctuating patterns (negative weight in connection). These +/- connections are essentially the modes of operation needed to make anything musical.
-- Connection objects in neuronSeq model a neuron to neuron weighed connection.
-- Implements a model of sequencing musical events without a central timer. NNotes are bound to only their activation and the activation of their connected NNotes, not to a central clock that would specify tempo, quantization, groove and other such variables.
-- neuronSeq is a relatively novel way to use the neural network paradigm. In stead of creating a static representation of a pattern, neuronSeq creates a connected set of real time operating oscillators (nerve cell simulations). This network could be taught to simulate any musical pattern, but then, a learning algorithm is needed. At the moment parameters have to be set manually.
-- It makes noise. Which is nice.
Run the gui with
$ python nsTkGUI3.py
