Last period was a very busy one. And when I look at this blog and at the date of the last post I realize more about that...
In the last 2 months I produced a dive into programming processing logic and a research about mind processing and technological singularity.
The most recent work, in exposition at Planet Art - Singularity expo #2 in Amsterdam is about the concept of mind uploading and brain manipulation.
Referring to the recent discoveries on brain computerized models (on
e already tested by the Blue Brain research - http://brain.mada.org.il/tools-e.html -) I decided to create an environment, suitable as virtual scenography or audiovisual environment, where to expl
oit technology to catalyze reflection, more then manipulation of a so delicate flow, the thought, the mind.
I produced an idea with which I like to represent a neural network networking, being manipulated by people.
What came out is a sensory environment where the human electrical capacitance, and so the electrical charge each of our body carries on, creates a generative real time sound environment and a visual aesthetic representing one tridimensional neural network that changes into a brain model.
For this project I challenged a technology I never exploited before, CapSense. This nice discovery shared by Paul Badger on Arduino Playground (http://www.arduino.cc/playground/Main/CapSense) uses human electrical capacitance to manage useful data for creative creations.
I created as prototype five neurons with aluminum paper for kitchen and isolating tape, some wires, Arduino, MaxMSP, Ableton Live.
With MaxMSP I communicate with arduino from which I get data from the neurons. On the same API I arranged a software, one-click startup, executable in Max Runtime and so without needing a license for using it. MaxMSP communicates with Ableton Live and each neuron produces different sounds and beat patterns.
Here's the MaxMSP patch you can copy and paste into your API:
----------begin_max5_patcher----------7624.3oc6c80biiaj+4Y+Tvx09nOU3+jHOb0NatTWRU6lJU1jm1M0TzRbr4NRhNTzdmYSkptOK2Gs6SxAhFRlRlTB.jBhxKmj0yPYY4F+PiFc23G59e8Uu6l6J9b1lah9cQ+Xz6d2+5qd26zuT8K7Nyyu6lUoed9xzM521M28TUUw5atE9VOlVM+g702+gxr4UvGCgSlgtMRJp+JAs8qQ+CyOx5mVkudYVk9iCadw7E5O7h694+CbL5lWdqEOUc36Edopu7XF7K7l6RWe+MQ+i5u6+9q9p5ubqkClUYa1jde11eeUYeVOHtoLaSV01W8iEqq1j+q5ea35wV2CcVR8vESo0+EkoeHoqwNokwtPz7255zU5eq27GyV9bVU97zn+b1SYQ+8kUkoeW98OTE8mpRWlO2Q.yOvZdwpUYqqdEX8C+s2+W+asAV5I+NAKoFjRh0eUqlPwtnlHX1.UeawxEG.Rer796.Q.MKgDy33aa8ecfzz.XQMff4EKKJs9ia.g8n2O6OMKBqPtVUTSdA6q0lWWkVkWrtA9yIb8ZShd4JoF7U+USs01lz.MblV0NQ9pejVm0ZJ.ctnWNDyl7jDB61V+W9LadpOtAb17uUDkNuJ+4zprnpGxh17kMUYqhlWrdsB7ide4hmxWWD8bdZze+G91npB86R8o83SUYk2FU7X15n2emZLUrN56xeNK5mt46yVVrHWCckoKylktbyOcSzikE+r5i71n4JT7SQp2d8mzZ86Q8WU+RQ4mhRuq34rYylsUNWlqDihmVqE131Tr16cPNgoy10HwwZ0JgPqQx3fUT9w0HoH86FiAqsbskDLJdPTJswZ7qUD0qj16Kto401OuGpZqy9E0n3UZZUQ249NawRXiMMHSXtuotf1JT99x7zkAa69ph6ue4tIL0Bgph5O2cRy2y9tY2sLc9m19VtqnbQV4dFEvHrTnMriIXtPp+WwDNSt+L87Gxl+orEGNshlIPTIgT+uNP2nEXGiAqyb8OKkr8qNf63cik68ZbX4jRd8BeuzReZ0cYktqQxf8f3ZESgzcMRtzUMRxwF721GESeAArfK.T..CO71lkLdfgSGaAVOQKS7M1BVbvL1zg42MYKijRjGAW.J4B8thrSnv2RrELxfMQqAka8MNhN.lxn6xp+Xc1P.3.f.7Y33vBpEXAMXaLMnvg1WprxHj5+gQHOTXnnc9mW6QD93PCuM+ebEZXmvzv1+y+cKZGrVVjtnNVdOrfR4fNiFd.OOczyFx3TApOXBXZkSDdCJiqUUOmVtSFdRlHTqmnL1qfLEVT4ytvbXCIrNWFLgG9h37JMZmv01kY69sqBzopnz78USMyj69VaReNawGThfZr7g5AetZKXHefuaGvVOlKUhjxZzGT9JqhwTaJU+8zyJC3bCJAqmahGr4FlDbzl38bSRvlaTlpIx5+LplfZrCMDfuGKPnlDipmDhcdSZU.JiSira7GRLI6.Yk+bspXxcESPC4.2Ou0vHgdMHlgrQWn0wM6BNt80KU0rkIRdhmNppVDM98TkJPdgMf+FPvrRl6dpxIibWU2aWNNiVuKGGMX6xECgEhiS7caNlLTay0L6RiNGPjTsygurVq+SMfyzXHEpd4ABZZpQM0PU6YTO0HFroFQrnuSM3eqN0zXGwGKV9EOPeoYyeXuPFx8cDYiVuB8DRHPxHvPf2LOB7lcQcJbd5xrHzLkxJu9uPy3doW.FLgnEvnS3pjnETHYjpWrLeQVDOxCTgff3ELbKgeBPg9ZPId3xS0GWVjVMVPFrJdY.YDdhLx2rHCbtgIbOAFk8nQLxTFceYV1ZeVKQz67HisIz6113gNROz.UzoKavHAGPDfGVPnWLrGHBdrhHkYK7ZoCjdF7VNn3Lfvtv.hZAm5yu0gtZ6Ykogj3SO9UQuXiFQadhPGtCVFrczqiVtWngZ4gAMXdiFx2PnA3XZOPC2Oz0QLZfP8EMviIznCCoOl9oHMAh.G6g+u2VW.e0vlyMCIcOieLx0s80XTCDvKsF5UfVyOmWM69kyVUrHaYz7pOG8MuRGJ5aVVyj8Z7ARSQDN5a1rpnnRiYJIp9k7EmSDPRFjvF4RO.Z9fgyJz3CqRqJy+7Pwdl8RPFIQVmfLAenRPFAArBmAmYiOIHiHBUBxThEmegSQ1ADLssTNBdRPdgpdN6IgqTXanIaSsK0qW3EcEMtSxIZC9.Auczs5KcJ+55JC0wAeYgIpXvyAhfan2K2laMzC4KVj0Ey0EwiWNIAjGrePEqQvYmd0ywgpjQ.wz6lp9QK81uTyoZP1c2pbzRiPNtILZ5iOprCEoLsq8QXi2tHHAiR.+Zk9rI2EOcPcyebqVUAJGfunTOnhBYm+YO75aQULhmjbaq+qlGpU2P2A2bgDg5Ow215+p6atvVcSk5h9XJzavLSd13xdW6SrHeUzWiU++dNaQAFqB2+A2tjojwUnSM8gE9N+H8e3edq.9TkX9K6zkUuT9JkDo0IZysCB8pQAWgzaGK3ciEK05Gf.A6Ru+yeLcQVOT6MSrbfubvCNp1yFmNEUGi75h7MpnbIQ5Y.JQoyFQP9mdEP6mwZdq8byhd7nJp2Sdyf1MlIflAe6WcXHmbwuaPGKxJa7jAr2YniN2ibcPjWP5CTuPPalnudxAgWJXNeGovzwbxdFXdVHDPJHow9xyBxnk+M+5iEa74pjA4kv37.280O3K45mG8dXGCDDv66uxvR3llRZV4gor6i4KydNqby92a+5jA9REn4k6Drvvy7jFimZGtVVTe6rajko2cyhrO5xmQcEW3k2OBtb2M9x9uy70GVvAZ96M8okUen8Ir8+9eLcdVm+vsh6u6l6KyWTrtVH16mr9k29q6GaYCSy6Xc5is7CWUTr7tzxmy2jaxZ5t4Akpapxa5zprp7Ul5.ytet7UOVlC0HhcuFj40G1LurX4x89nfuyys7cVj8b97reIeQ0C64z9AEznF5M6snZuW+fEWfF4VzqqkLPfEFFLx290cXWWqZd0Jma1+G30EGBnXBXpZH0+X2r8kgLT+tsFN7Yrtmgj11iolm5QB0+o1kgMi07c1g5ZG.lotb.m+Bl7JSqcteSmYk53la51jyQ2+Yfv08NGfNqoFjFD560mDf85PXpmC5WNYfyu9z+YsZj+5OIvAFCm09qOtzN8t60fE9rn+DRn7dksU+QRH8QXXy9WGZnCHI5JXkndXbpEhz5ibwP.cKrkiZGP1QiTOFwNXq+k8mqK4RcrUmdTV+8aGh1T7T47s+52J6Q6OjWjsoJe8N2U9wFy5Q38dmub9JMQlU4KdrPsrvHgVNqdFEb7qdmWRAuM4oKImNxjbjkRd8d0iJAm5jV93QxaAH6PvGPw17hJ42IJUzZXJdEayQhowhvdNUXUpP.uKcoIHyceF2L32OJeSFAkZRFAy6jQPuBSFAEHWJm68cxCSlRFwTxHlRFwTxHlRFwTxHlRFwTxHlRFwUUxHtHQ67a4vKuhin+ZMIJWs4s5BkovojQbQSFAAJBn7Dr2Ii.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.8WWmZne7KdO69j5.Fs99nCvuNzADdnBvgTCrSE.4tJvktbhuuFv1gME5vmcW9rgNHM0bXHlNSgzgSCgSuzcIniWevgZwko+.wbuaRvYCl09d2Wd5t2y7X57Be67.bbixUlOcySLe71QbaoA8D6cC5QfX8DoDuY5cvXNbs56AXDekz5fKKpRUuvW90i26fO9oNygFUPLz0fIjiiWr1vqwUO.Zu12Jpt6shXHxP09VwBvOLbr2ku.TRnZeqMarUWll25QlZXRodpYv5rtX91NJOw6ol3ooF0TizrpIY3lZXn9N0H9s5TSClE8wmVtbybel.nPNUDlZNCw8tDLxYuoP8kCQuPkGeYPzo9Dl3OzaS9Cs87aa6j6++9e9ei.tgrc8TV15nmySi9C+vuO5SYeo4OU84CMu3IXzR557922szNSnC3ik4XDfjDWS7DmIahva5SfFvS0+TXr14WEBD8K4qWT7KmKTkf.VoPw0vJW3OphFCn59Gf09n5ND8qw2zOPCm.5hBcd2gt5WyN+o0DPgSeqvDrsPBUCI8fJXb1Xg9RGUW5ESe8VaxvqPkZjB4hE9qLweqnLYPDJqu5Rhq.pvU2iQAa7Qyq9bz2rH6wpGt6oO9wrxnAR0JQn2yTP7GIi8U2hbLbVmXmaGZcriQI3rkQj39Z9GnvIFo0O6ASN2cBSW4npxqumdbXTUQ.QFEmFS6fBibuIWM6TVDtss+pCdGcFH3H2VpeUuX0GJTgkwZ6DIZ8Ztb2CmIJgUug0Yc.ctjaaoxV85aejaCzSzSGxjsGf8KOfvPPPv6q9oy0PMw1gpvScNyXvD+wKObtFPBaGP7wkNGyV4lNwexK2U47jL1fBTSpGL1P41w3jxFcSrMpmmFIUpS1ijh8kXaXD4ZmYaFMF+Y1lxmpqAdQ9JVegP9z33Y8j0WpcSuvGH69YF7fqynGULdMhnzxzIvG4wYGgtn2G7x6uadwxhRetT3wPcXCqG0wty+KY3O0FJBhmj2qStwlOkoSu4s4o2X0MhdVsoVMuWvy7+hXJ.FVJk89JQeEj5x.hqL.Qkh9hq72H2uUAF2fPZ9eAWYA49sdNQBl.+Bod6ARPu5QBJvvUJumHA4pGIHlSCOomHAdTiDGy9az80mEm+FbAmjwftDG684jDSGCmB9I2ohWuGEFM.6TY.NH3z9rSUL4J2Efn6V9TOpoETgotxjzv7tOpf9WcYBkJXToJzEuApsLM.hsmF6OPkbUrVc37pjt8L1P81c832B9qSzHKe.P1s5jHRuQ12Jdry3ynp+vX+FurzXawcQLtNiS70oX2h3bUTWWjWopI1J1wjqRs6QlXGaMbekVAkGY3s8qJGWjEPXKwZDIWma5vuJMBNxDaqoS13hHLWml.sk9NhwkgjKg2TSjNZnIcDQnYWmPR7kzQrqNNGQ7jtMDNPzRNyWNGkjbsS4Hi9hDJtAdP4HI9ZjwQ9TigH.qR5QMFBiGmE4PsUkHdGkzvSw6FViJzLm69ZngqaLL75M8BYfCsDKP9hLh2nHivTUuQReQF9X.Y5tDphPTeJhpvcx0TcNXjCY4zoKhp7Kr8kifHLh6.BAXxHOY2M.2U.4RWT25tBMY0HWXZ0MfabwNPky3cVUendVPSqxsr+KIFwSRts0+UyZ5Q2X1c2u+GnP8m3aa8eg2WnawO.kW9.eW0jiSdQpWVmX1.1byLaP8X1HYZ1X3lM.Ou5wrgbZ1XvlMvfwYAbdndLajfllMboX1kUltI6C5Q0txYWGUztSLyAw8JL75wTOxicHdlD7H0eihxpGJdobM3jOXnFfBz3rbxkiDxEFS1qrKbzwHZmCUGaL11RVWKYrCctfJ2iDfNETFzDzvDfZsRmKuWwrwYL7kMIklKHRBj5GLNwl5.ZaHBdrhHuP9L2hNUu1Og2fxwNgGnwbVdvQXepJdRZ+xkgXTjKiSVZgY9WZggBCKAnGqGkSWA6ppHLS7GoLEFVouEdXl3ZBo7t7Lmv6ILEeUoPg8VghaJ68diTB5URgrFHy5QKh01fWlit.7wUl3bkrlwGq636YGklA2CD3nLXTm2xmQGUMOBsRn5S9wmpZ96ZKXvlQO5V8F6N7F4n2oH5EjKbtUsYQ.ybGwI916zYx2NsB.FT1M1BFtaAkid6.FzDYOACxaGvHA0S2ZoWUNq8iBu8BIVv5IRcc4uF2ejhf6IRkbk3ulUYo0pXlfSfhPRZrorSbOggGsGEpU.fD2..7IZnqEcFkGr40btr25La2GCZfVXL18NVCYjle+xrzEQ2UlludVCXzY.BxiEbLHI3CqFymLU+RzHEddrX4W9PM6Mi9ZbGmBhM3CAVlAAHJicFeRji9iBwLDi2UDZczphTDpSBoqREldKleWzeM5+N5aiduuS0XfyQ7lo91IffDj1JaWJ7yU+9JSipY1IyaH.3WDKoYa9xo9q4H8bPpq532ubVY15EYkPgGu0yPF68NMXfoildlCASc2itgKX5CJI1CJFpz+d.PvUoUk4eFxwRz2rYUQQ0CeXyCoKp65D3nuYY98OT2AJL84nH+MBC4ofBVgowmngDIaYW7gCaUvvGfQ9YCgU6ZsrMH9UtR2BFuchn90TZA8B1MNOAUmKVr6aMP3iJXuKSmKxW0OuDnlBBCzZVEt6FEI9Ra2r6VSqCieniPxcWQIY7zeZ6GRfA9KCEHCO.BxHBIpMG8wG2b+S4diFBiWT.Ed2U.yreOwg6l0L3VqqhtCHhVzc8zoAbh4V03tOCjAqQGt0mA8P5rDYes9z+7tzkK6KbYpuqwtCWzwq5z+bUVUYgZ7zWzAHyl3DNf1xlPzgiVW8P24jWuSSySnO0T9WzCtVtem96DmDpo7de+Nkzq862oQgQBYL1m62IaTc+N2eExVfPW3zN1U2DpcbTSuNGnKRsG91el1Wfiw21QGFr20iQGeDO5nPlY6wnibIy9xfzqCTAYzydc.gMpXnh0S9n9tv8EeJtTwPdzYVp4bsL4Yf4dPSzqhvGONHXxXH.BBo6f.45GDHTRCPvmvmwW+f.Vf6GHfEiHPnCVJp9MkE89nuM52G8eE8G7PSAx3DwzMhEdDKnqfj3ngBd3+MnGIdzhr40Ap3Q85XFp9OI0fC7uw0wN4tREcPOn2911XDF1O.4Yy21FiMeJSsMley01Xpi8dyWVcWwR+KQxRdC5cE6e4MmPutK8z+5xn6UF6eLRv5KXhABJGi7tADSHmkFPbvaoyXUHTT+gy8pK5bo+5lHegSpM8y4f2WmyqJR6sRJjORa5nyzN5JIxyxJ9AuGuaSUQGzz5cAQmjzqAc.ZVKvu4arZOgDq6fOcstSdjd0vEu.vqLJDQrnHZRFWE+XsbiuBkaaKGu3wUIfGaaWEmLtprsDaaQ3ZEpQjbaa8OlLUbaubE21NKlKO5Sk9fffNpHjUMp6rWFyFor6d9xhM9TnO.1YtEPjtCHzwI+V0gaGsIqob3VVhTaZaXulvidl7k7HhAZS36n1PlDN1Y5RDOBXKQm29Ac5Wbe8ANt45ClyqOFoEFHXgQTZjT3yQO1HKp3XfZ7te9LC9ISLrZL6wz3u1m5iiHAN7F39SHwdXb8ReWqdLed07pxWpbdoy+Tc5qVun4urlo3cufcoM3eEtd61XjTJqeIZCXX9x75zRmupdZn4GaK8AXHaBv8Nhrk7Nmj.kGlC5VOincDM8kK0Zd4pzHEfL6w5LuDl6zSufbrofCAVuYfEcFJwOzFtWkvRa3SjiOETWUpj27Zy2NA+TdmDPa6rw5rmJKVmEx4htteUee1xhE4oQ+YkHktbO+t15vMtE6ETwN6ENNqBtsB1SL0kDdSasssTAtBiFWYLEMYzfrRo8KwveLa4yYU4y0vxKXR482YFE5wPyuzQk0D0.taTnNa6muwbp9Ca+D2.SwGFXnYh90AfGuW.pck0.wdMEkWGJX6gA9JEOakJFwFg5.Q+bKTXVrMREKrBkMxzAv4nPlvbYXUorROONr.0AKq5PnBpLQ4Voj6HPQ08WFSqFm1nsiSavyI0Nub3gfLFDzwGvFV8OpMqIbDkTa2y2x0DvUJBlUOupep2KXvVHwRQfWEaiPQC79BGnc20Z.GMtjnWhZtdaFFyr+SFlKBYUauGvPV2L7vu9odNFIVsLOrayfsVlv1KS3DkuvJLiJ1lXF5LAY6KzaI1JmsXIiOSS3v5.HwNYxwkTTrdt0rHggo6dpuSrHrUxaXMLYy5CRXEoC900ANQCq6B1rnj63FcTIpgpVcwhcfT0313GKmGT.zJWqCqu0XaVPxBsiB1noICbn1BaL0FSC7V6I6sscWpT7.KUwVIUg0mXqBrUD1zRvrwiXWSzElIz1TwX3XxXlyW+fGYaOkQh9MyFB21ry.WfyngcNSF3sBnVsAOOvFd4VEgFOv4tKwJegBav.wjQnPgYRKL7RC85OjMBUfQp55A2IEJQfc52p.0oNZnBSj5LjPgpHHVhv6dr25aVYvOrVVSjVk6fvJTRzY.nvTACxakbuc12+QSmYca9Zn8eVGyNGCFNjzASq6FKfT3cviPE1a6fIlL.pvjwmJrcatvBb.PTaBULNr9FHsCoBbL0VkoPYf8hxNONIANTQpcVqqwJV.8iBYsTQCnTgsVpHAbFLwZoBGNoxNeoBqSmL9YYeSnPZYt8VXAvCzCeTZnLqgLRG7n4TyLaqper2S.mEGd.WYI.U3vBAbZtG7XnGq1oqQR5oe6Lf6yCge6Ta7am53wThwIP8uyvUarg7D3AHyRDaTmDtJvwIH.gMjlNIY2i8VfsJSJA9TkvjXqivLb1pEV4B.wwrVrc1jAWiB8xmsONDBLdvE356894QfOz1y.Iw8VpXmk7cHEZfiSnMy2g9w9NwaCLJ5BEwmITzJuBIgMZCgUFZH3fBUIVcP+g8ToHVsSrqm.jPn8IDCNDgiQlhQ09OZJLDIXfIjRd+Y4nMqn4gMZ7D7YvWm9JS13cPRXWxFaEYPicNEkbsSfPMcASQrcO1W4UbFj29JS1X1SqPxbACMfFYaAFkt6w9JuI1JuTWBbQH1SdgZNyfHuRakWhKxKDA8N4EmLT3aBxV40EpWhkjlxKFtQiCg7Z044nSiQ3R6kUWwEsLEtjdYESlYgMLJtU4rLrIGzNpWD1TCxj1JSgSG2Je3C8UHvFW4Bqux1nMQB7ohYiykg9RAN72fKBlCATnibnwEpQ+J8NcjCu.iiwmOANdzcE4NCS4J23NeHnc2DnvxHOKRpGAGbQhbJQhDbQhdJQJvWKAaTlB8gsaiLICL8xRr8NAhGWzfMvWyEJY7kvHJwFNT57A1wwv0fE27.6zO1WG+6UR2vcIuLSfuz8NfwAHy9VsdkRB+b9oL+SCbxTswTaXy4lzl.URBbkcvFyZx.yJMjMd3fQAlnNHqbED43ROFRmiTIbc+quiKHyS8VdsxUaTfuGXX6t4MrvRXM6p5JZoJfDVyt6CONrNBws5jynA2We1oDo.eUssYtSD17svsQKWD3aZrM24FtLr77wlDT6ZIXhSkMLzygK03AOwf6VNbQHzO02QhUZgNt8dcIUTORfSKyTfEqeZHjVrMRa3zEjLKjIIM7xDxFYJfN2ZSbTINxrTRLFVI.s+BQ7tmFBoEaizFPqN1DMOKrgGX00rk63rJimznRZTy66gpRZXSPe73QWIaQxCJ6xD1JR3fIRDaEIh8hjofsvARcPgTGs+SBnrZQf8cO3Inx+SfhQf9o9h61X1lE1s2r5NwvvAMtGZrsxT3hPzp6g.CGzK+kUUe1j.egPsQGOIrmWVrUtlDX92QOKbXDJUnbyUphB2u5Cd7LvvQq1jKvIa0FiHxjQWU0RFVG7jVwwHjbDVq.CbAL7veecIU3QWktCiC7YJa2UpDSGegxfC7EsEaWICJz0gUpc29Nx36RIS54kR1bUV0OFhKVLomWrXRiG6qoj3yh7BEvZbBso7peLDmDtyxq4n5MMoncxab+uZvVUtebVdIbcTtlbisSeX.pswVUIfH9VIfLE0OZ7d03OyiDLZuQCFEnZADw2ZAj4ljuqBFF2VELLXCVqp+FNOVEBw4xTI8bXqr2BkcUKg.6FpcNGSbkgUau7wIlN5HOd2i8lHBBaNVm.yCAjMU9UVfum4HaJRtr.e8JHBqJh.gc9SXWo1rOyepG92e0+ObKJetA-----------end_max5_patcher-----------
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