suckerPUNCH: describe your project.
jonathan McCABE: Sinet is the output of a small and simple neural network model, where the transfer function of the neurodes is the sine function. Outputs were iteratively composited together, using the colours to make a synthetic alpha channel. The resulting images look a little like coloured glass, with transparency and lovely curves. The images seamlessly repeat, and are freely available under a creative commons license. The set is on Flikr
Off Centre Equalised is loosely based on the work of Alan Turing on spontaneous pattern formation. A detailed explanation can be found at http://vagueterrain.net/journal14/jonathan-mccabe/01 and http://www.jonathanmccabe.com/Cyclic_Symmetric_Multi-Scale_Turing_Patterns.pdf
sP: what were you reading/listening to/watching while developing this project?
jM: I was probably listening to Philip Glass, Tism and The Magnetic Fields, reading New Scientist, Ecogeek and MocoLoco.
sP: whose work is currently on your radar?