{"id":2974,"date":"2023-06-08T15:30:05","date_gmt":"2023-06-08T13:30:05","guid":{"rendered":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/?p=2974"},"modified":"2023-07-07T13:37:15","modified_gmt":"2023-07-07T11:37:15","slug":"neurowissenschaftliche-simulatoren-der-zukunft-wie-ein-neuer-ansatz-die-forschung-voranbringt","status":"publish","type":"post","link":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/neurowissenschaftliche-simulatoren-der-zukunft-wie-ein-neuer-ansatz-die-forschung-voranbringt\/","title":{"rendered":"Neuroscience simulators of the future: How a new approach is taking research to the next level"},"content":{"rendered":"<div class=\"twoclick_social_bookmarks_post_2974 social_share_privacy clearfix 1.6.4 locale-en_US sprite-en_US\"><\/div><div class=\"twoclick-js\"><script type=\"text\/javascript\">\/* <![CDATA[ *\/\njQuery(document).ready(function($){if($('.twoclick_social_bookmarks_post_2974')){$('.twoclick_social_bookmarks_post_2974').socialSharePrivacy({\"services\":{\"facebook\":{\"status\":\"on\",\"txt_info\":\"2 Klicks f\\u00fcr mehr Datenschutz: Erst wenn Sie hier klicken, wird der Button aktiv und Sie k\\u00f6nnen Ihre Empfehlung an Facebook senden. Schon beim Aktivieren werden Daten an Dritte \\u00fcbertragen - siehe <em>i<\\\/em>.\",\"perma_option\":\"off\",\"action\":\"recommend\",\"language\":\"en_US\"}},\"txt_help\":\"Wenn Sie diese Felder durch einen Klick aktivieren, werden Informationen an Facebook, Twitter, Flattr, Xing, t3n, LinkedIn, Pinterest oder Google eventuell ins Ausland \\u00fcbertragen und unter Umst\\u00e4nden auch dort gespeichert. N\\u00e4heres erfahren Sie durch einen Klick auf das <em>i<\\\/em>.\",\"settings_perma\":\"Dauerhaft aktivieren und Daten\\u00fcber-tragung zustimmen:\",\"info_link\":\"http:\\\/\\\/www.heise.de\\\/ct\\\/artikel\\\/2-Klicks-fuer-mehr-Datenschutz-1333879.html\",\"uri\":\"https:\\\/\\\/blog.rwth-aachen.de\\\/elektrotechnik\\\/en\\\/neurowissenschaftliche-simulatoren-der-zukunft-wie-ein-neuer-ansatz-die-forschung-voranbringt\\\/\",\"post_id\":2974,\"post_title_referrer_track\":\"Neuroscience+simulators+of+the+future%3A+How+a+new+approach+is+taking+research+to+the+next+level\",\"display_infobox\":\"on\"});}});\n\/* ]]> *\/<\/script><\/div><p><div id=\"attachment_2979\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-2979\" class=\"wp-image-2979 size-large\" src=\"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten-1024x512.jpg\" alt=\"Ein Gehirn als Hologramm, dahinter das NeuroAI Framework.\" width=\"1024\" height=\"512\" srcset=\"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten-1024x512.jpg 1024w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten-300x150.jpg 300w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten-768x384.jpg 768w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten-1536x768.jpg 1536w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/07\/brain-web-8d8d6639-zugeschnitten.jpg 1569w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><p id=\"caption-attachment-2979\" class=\"wp-caption-text\">\u00a9Chair of Integrated Digital Systems and Circuit Design<\/p><\/div><\/p>\n<p><span style=\"color: #00549f;\"><strong>A new type of framework called &#8220;neuroAI\u02e3&#8221; has been developed by the group of RWTH professor Tobias Gemmeke. This framework is highly flexible and makes it possible to better understand and model the brain and its information processing<\/strong><strong>.<\/strong><\/span><\/p>\n<p>The brain is one of the most fascinating and complex organs, raising many questions. How does it work? How does our consciousness and behaviour emerge from the activity of billions of neurons? How can we learn from the brain to build more powerful and efficient computers?<\/p>\n<p>To answer these questions, neuroscientists are studying the structure and function of microcircuits in the brain, which consist of groups of neurons. These microcircuits are responsible for processing information in different regions of the brain. By analysing how neurons in these circuits work together, they can develop models that explain how the brain processes information and how behaviour results. To test and improve these models, computer simulations of artificial neural networks are essential.<\/p>\n<p>The &#8220;neuroAI\u02e3&#8221; framework provides a platform to perform such computer simulations. It is highly flexible and allows different types of neural networks to be created, trained and analysed. Both biologically plausible and artificial neural networks can be considered. The framework is also scalable and can be used on different hardware platforms, from conventional CPUs to specialised chips for brain-inspired computing.<\/p>\n<div id=\"attachment_2989\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-2989\" class=\"size-large wp-image-2989\" src=\"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-1024x709.png\" alt=\"An infographic about the NeuroAIX framework\" width=\"1024\" height=\"709\" srcset=\"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-1024x709.png 1024w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-300x208.png 300w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-768x532.png 768w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-1536x1063.png 1536w, https:\/\/blog.rwth-aachen.de\/elektrotechnik\/files\/2023\/06\/neuroaix-fig2-2048x1418.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><p id=\"caption-attachment-2989\" class=\"wp-caption-text\">neuroAI\u02e3 FPGA cluster is ten time faster and ten time more energy efficient than today\u2019s best neuroscience simulators at running of biological neural networks. \u00a9Chair of Intrinsic Digital Systems and Circuit Design<\/p><\/div>\n<p>The framework consists of two components: a software tool that can rapidly evaluate neuromorphic architectures and a hardware cluster composed of 35 FPGA (Field-Programmable Gate Array) cards. The hardware cluster has two functions: It can be used as a test platform to calibrate the software tool and test the proposed architectures for efficiency. It can also act as a neuroscience simulator, beating the best existing platforms by a factor of ten in terms of speed and energy efficiency.<\/p>\n<blockquote><p><span style=\"color: #00549f;\">&#8220;We are pleasantly surprised by the high speed-up and energy efficiency achieved by our system, as the focus of our work was on the flexibility and reproducibility of the simulator system,&#8221; explains Kevin Kauth, PhD student in Tobias Gemmeke&#8217;s group and one of the main developers of the project.<\/span><\/p><\/blockquote>\n<p>A possible future vision of Gemmeke and his team is to build a high-capacity FPGA cluster and develop a web platform that will allow neuroscientists and AI experts from all over the world to use the cluster via the cloud.<\/p>\n<hr \/>\n<p>You can find more information about this exciting project at <a href=\"https:\/\/neuroaix.de\/index.html\" target=\"_blank\" rel=\"noopener\">neuroaix.de<\/a>.<br \/>\nA detailed description of the neuroAI<sup>x<\/sup>\u00a0framework has been reported in the open-access journal\u00a0<a class=\"external\" href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fncom.2023.1144143\/full\" target=\"_blank\" rel=\"noopener\">Frontiers in Computational Neuroscience<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>A new type of framework called &#8220;neuroAI\u02e3&#8221; has been developed by the group of RWTH professor Tobias Gemmeke. This framework is highly flexible and makes it possible to better understand [&hellip;]<\/p>\n","protected":false},"author":4757,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"c2c_always_allow_admin_comments":false,"footnotes":""},"categories":[1,11],"tags":[53,86,88,85,87,89],"class_list":["post-2974","post","type-post","status-publish","format-standard","hentry","category-allgemein","category-mikro-und-nanoeletronik","tag-elektrotechnik","tag-framework","tag-gehirn","tag-mikro-und-nanoelektronik","tag-neuroaix","tag-neurowissenschaft"],"_links":{"self":[{"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/posts\/2974","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/users\/4757"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/comments?post=2974"}],"version-history":[{"count":20,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/posts\/2974\/revisions"}],"predecessor-version":[{"id":2998,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/posts\/2974\/revisions\/2998"}],"wp:attachment":[{"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/media?parent=2974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/categories?post=2974"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.rwth-aachen.de\/elektrotechnik\/en\/wp-json\/wp\/v2\/tags?post=2974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}