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pop_neuron:pop_neuron_main [2019/07/01 20:51] admin [The Confetti Neuron] |
pop_neuron:pop_neuron_main [2019/07/04 17:31] admin |
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| === Acknowledge === | === Acknowledge === | ||
| These oscillator and network behave similar to the one described in [[https://link.springer.com/article/10.1007/BF00337259|Dynamics of Pattern Formation in Lateral-Inhibition Type Neural Fields]] by [[https://en.wikipedia.org/wiki/Shun%27ichi_Amari|Shun-Ichi Amari]]. The implementation of the analog neuron was described in [[https://www.semanticscholar.org/paper/Implementation-of-artificial-neural-oscillators-Tymoshchuk-Paterega/43181abe684d041b0dc3c30eaf8bd942524de17e|Implementation of Artificial Neural Oscillators]] in 2009 by Pavlo V. Tymoshchuk, Yuriy I. Paterega.\\ | These oscillator and network behave similar to the one described in [[https://link.springer.com/article/10.1007/BF00337259|Dynamics of Pattern Formation in Lateral-Inhibition Type Neural Fields]] by [[https://en.wikipedia.org/wiki/Shun%27ichi_Amari|Shun-Ichi Amari]]. The implementation of the analog neuron was described in [[https://www.semanticscholar.org/paper/Implementation-of-artificial-neural-oscillators-Tymoshchuk-Paterega/43181abe684d041b0dc3c30eaf8bd942524de17e|Implementation of Artificial Neural Oscillators]] in 2009 by Pavlo V. Tymoshchuk, Yuriy I. Paterega.\\ | ||
| - | Like already mentioned one importent origin of the Pop Neuron is the [[http://solarbotics.net/bftgu/starting_nvnet_bicore.html|bicore]] circuit of the [[http://solarbotics.net/bftgu/default.htm|BEAM]].\\ | + | Like already mentioned one important origin of the Pop Neuron is the [[http://solarbotics.net/bftgu/starting_nvnet_bicore.html|bicore]] circuit of the [[http://solarbotics.net/bftgu/default.htm|BEAM]].\\ |
| A digital implementation on syncing and desyncing processes of two mutually coupled systems one can find on [[http://interface.khm.de/index.php/research/experiments/netze-networks-neural-oscillators/|Netze/Networks Neural Oscillators]] by [[http://interface.khm.de/|Lab3 - Laboratory for Experimental Computer Science at the Academy of Media Arts Cologne]].\\ | A digital implementation on syncing and desyncing processes of two mutually coupled systems one can find on [[http://interface.khm.de/index.php/research/experiments/netze-networks-neural-oscillators/|Netze/Networks Neural Oscillators]] by [[http://interface.khm.de/|Lab3 - Laboratory for Experimental Computer Science at the Academy of Media Arts Cologne]].\\ | ||
| An other example of an electric implementation of an analog neuron for controlling robots one can find in [[https://edoc.hu-berlin.de/handle/18452/16352|Neurodynamische Module zur | An other example of an electric implementation of an analog neuron for controlling robots one can find in [[https://edoc.hu-berlin.de/handle/18452/16352|Neurodynamische Module zur | ||
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| === Neural Sound Synthesis === | === Neural Sound Synthesis === | ||
| - | One can use these neurons to generate pattern and structures for all kind of sequencers and also for synthesize sound for musical instruments similar like the one David Tutor used for his [[http://www.lovely.com/titles/cd1602.html|Neural Synthesis Nos. 6-9]] in 1993. A description of his work by Forrest Warthman and Mimi Johnson is on the artist web-side: [[https://davidtudor.org/Articles/warthman.html|The Neural Network Synthesizer]]. His neural synthesizer was based on a RC-circuit in combination of the [[https://en.wikichip.org/wiki/intel/etann|80170NX Electrically Trainable Analog Neural Network]] chip by Intel.\\ | + | One can use these neurons to generate pattern and structures for all kind of sequencers and also for synthesize sound for musical instruments similar like the one [[http://www.lovely.com/bios/tudor.html|David Tutor]] used for his [[http://www.lovely.com/titles/cd1602.html|Neural Synthesis Nos. 6-9]] in 1993. A description of his work by Forrest Warthman and Mimi Johnson is on the artist web-side: [[https://davidtudor.org/Articles/warthman.html|The Neural Network Synthesizer]]. His neural synthesizer was based on a RC-circuit in combination of the [[https://en.wikichip.org/wiki/intel/etann|80170NX Electrically Trainable Analog Neural Network]] chip by Intel.\\ |
| {{:pop_neuron:audio_visual_synth_diskurs2018_4267.jpg?400|}}\\ | {{:pop_neuron:audio_visual_synth_diskurs2018_4267.jpg?400|}}\\ | ||