NEURAL NETWORK by TELEKINETT / MAURICIO REYES

Created in 2006, Neural Network is a part of a series named "The Brutalist Architecture of Sound" and was officially released in 2020 as a part of the 9 Beet Stretch 2.0 project.

9beet2.com

A neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus a neural network is either a biological neural network, made up of biological neurons or an artificial neural network, for solving artificial intelligence (AI) problems. The connections of the biological neurons are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections.

All inputs are modified by weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1.

These artificial networks are used for predictive modeling, adaptive control, and applications where they can be trained via a dataset. Self-learning resulting from experience can occur within networks, which can derive conclusions from a complex and seemingly unrelated set of information.

Mauricio Reyes is a futurist, composer and audio researcher focused on experimental, electronic, and electroacoustic practices.

Founder of Telekinett Records (2004–2008), a label dedicated to atonal and exploratory sound, he investigates signal behavior, noise systems, and spatial perception through granular synthesis, tape manipulation, spectral analysis, and circuit experimentation.