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analog_computer:confetti501_confetti_neuron [2019/07/04 00:17] admin [Schematic] |
analog_computer:confetti501_confetti_neuron [2020/06/30 19:16] (current) admin [Confetti501 Confetti Neuron] |
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| Confetti Neurons are special modules to implement an analog artificial neural network into the multi-connect system of the [[analog_computer:analog_computer_main| Analog Computer Confetti]].\\ | Confetti Neurons are special modules to implement an analog artificial neural network into the multi-connect system of the [[analog_computer:analog_computer_main| Analog Computer Confetti]].\\ | ||
| {{ :analog_computer:confetti501_confettineuron.jpg?600 |}}\\ | {{ :analog_computer:confetti501_confettineuron.jpg?600 |}}\\ | ||
| - | They are the successor of the [[pop_neuron:pop_neuron_main|Pop Neuron]].\\ | + | Check out the [[https://www.routledge.com/Handmade-Electronic-Music-The-Art-of-Hardware-Hacking/Collins/p/book/9780367210106?gclid=EAIaIQobChMIjrSoju-p6gIVDJyzCh3h-g0sEAAYASAAEgLcA_D_BwE|Third Edition - Handmade Electronic Music]] by Nicolas Collins. The chapter "Sounds from Neural Networks" by Wolfgang Spahn is about the Confetti Neuron.\\ |
| + | The Confetti Neuron is the successor and a further development of the [[pop_neuron:pop_neuron_main|Pop Neuron]]. It's design focus is on a better sound quality, less power consumption and easier handling than the Pop Neuron.\\ | ||
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| {{:analog_computer:confetti501_wiring.jpg?400|}}\\ | {{:analog_computer:confetti501_wiring.jpg?400|}}\\ | ||
| - | These four models combined behaved exactly like Shun-Ichi Amari had described*. They would fire or not fire (outputs +12V or -12V) when a certain input level (action potential) was reached. | + | These four modules combined behaved exactly like Shun-Ichi Amari had described* in his neural model that should explain our hear beat. They would fire or not fire (outputs +12V or -12V) when a certain input level (action potential) was reached. |
| The option to change the integrator circuit on the board by plugging in capacitors with different values (from 100pF up to 1000µF) and the option to connect at the input as many different sources as one wants makes the Confetti Neuron highly flexible to use in all kind of applications.\\ | The option to change the integrator circuit on the board by plugging in capacitors with different values (from 100pF up to 1000µF) and the option to connect at the input as many different sources as one wants makes the Confetti Neuron highly flexible to use in all kind of applications.\\ | ||
| - | Thus one can use the boards in combination with the plug-in slots of the Confetti Neuron module to create an analog neuron. In adding resistors and capacitors to it one can build an excitatory (EXC) or an inhibitory (INH) neuron out of a Confetti Neuron 501 module, depending on the jumper setting.\\ | + | Thus one can use the boards in combination with the plug-in slots of all the analog computer module to create an analog neural network. In adding resistors and capacitors to it one can build an excitatory (EXC) or an inhibitory (INH) neuron out of a Confetti Neuron 501 module, depending on the jumper setting.\\ |
| *[[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]] | *[[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]] | ||
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| **The Confetti Oscillator**\\ | **The Confetti Oscillator**\\ | ||
| {{:analog_computer:confetti501_confettineuronoscillator.jpg?400|}}\\ | {{:analog_computer:confetti501_confettineuronoscillator.jpg?400|}}\\ | ||
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| + | Shun-Ichi Amaris neurons have the ability to oscillate when one puts two together and they are also capable to synchronize with each other. | ||
| To patch two neurons for an oscillator one has to connect the output of the first neuron to the input of the second neuron and vice versa. Depending on the frequency various resisters could be used. The value should be more than 5kOhm and could be up to 12MOhm. The capacitor on the board should have a value from 100pF to 1µF.\\ | To patch two neurons for an oscillator one has to connect the output of the first neuron to the input of the second neuron and vice versa. Depending on the frequency various resisters could be used. The value should be more than 5kOhm and could be up to 12MOhm. The capacitor on the board should have a value from 100pF to 1µF.\\ | ||
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| + | {{:analog_computer:confettineuron_oscillator_02b.png?300|}}\\ | ||
| One can use for example for a good sounding oscillator a resistor value of 100kOhm and a capacitor value of 3.9nF.\\ | One can use for example for a good sounding oscillator a resistor value of 100kOhm and a capacitor value of 3.9nF.\\ | ||
| To change the frequency one can use a potentiometer instead of the two resistors. For a good result one should use a 2MOhm stereo potentiometer. | To change the frequency one can use a potentiometer instead of the two resistors. For a good result one should use a 2MOhm stereo potentiometer. | ||
| - | {{:analog_computer:confettineuron_oscillator_02b.png?200|}} | + | {{:analog_computer:confettineuron_oscillatorboards.png?400|}}\\ |
| - | {{:analog_computer:confettineuron_oscillatorboards.png?200|}}\\ | + | |
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| ==== Paper PCB ==== | ==== Paper PCB ==== | ||
| - | {{:analog_computer:confetti501_confetti_neuron_12.jpg?400|}}\\ | + | |
| - | {{ :analog_computer:confetti501_confetti_neuron_12.zip |}}\\ | + | {{:analog_computer:confetti501_confetti_neuron_20.jpg?400|}}\\ |
| + | {{ :analog_computer:confetti501_confetti_neuron_20.zip |}}\\ | ||
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| Bewegungssteuerung autonomer | Bewegungssteuerung autonomer | ||
| mobiler Roboter]] by [[http://www.neurorobotik.de/team_en.php|Manfred Hild]]. | mobiler Roboter]] by [[http://www.neurorobotik.de/team_en.php|Manfred Hild]]. | ||
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| + | ==== License ==== | ||
| + | |||
| + | The Confetti501 Confetti Neuron was designed by **Wolfgang Spahn** 2019-20.\\ | ||
| + | It is licensed under a [[http://creativecommons.org/licenses/by-nc-sa/4.0/"|Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License]]. | ||
| + | |||
| + | <html> | ||
| + | <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a> | ||
| + | </html> | ||
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