{"id":1022,"date":"2017-11-09T10:32:22","date_gmt":"2017-11-09T10:32:22","guid":{"rendered":"https:\/\/e-nns.org\/icann2018\/?page_id=1022"},"modified":"2021-01-12T09:08:31","modified_gmt":"2021-01-12T09:08:31","slug":"conference-topics","status":"publish","type":"page","link":"https:\/\/e-nns.org\/icann2021\/conference-programme\/conference-topics\/","title":{"rendered":"Conference topics"},"content":{"rendered":"\n<p>ICANN 2021 is a dual-track conference featuring tracks in Brain  Inspired Computing and Machine Learning and Artificial Neural Networks,  with strong cross-disciplinary interactions and applications. All  research fields dealing with Neural Networks will be present at the  conference. A non-exhaustive list of topics includes the following.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Machine Learning<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>Deep Learning<\/li><li>Neural Network Theory<\/li><li>Neural  Network Models<\/li><li>Graphical Models<\/li><li>Bayesian Networks<\/li><li>Kernel Methods<\/li><li>Generative Models<\/li><li>Information Theoretic Learning<\/li><li>Reinforcement  Learning<\/li><li>Relational Learning<\/li><li>Dynamical Models<\/li><li>Recurrent Networks<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Brain Inspired Computing<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>Cognitive models<\/li><li>Computational  Neuroscience<\/li><li>Self-organisation<\/li><li>Reinforcement Learning<\/li><li>Neural Control  and Planning<\/li><li>Hybrid Neural-Symbolic Architectures<\/li><li>Neural Dynamics<\/li><li>Cognitive Neuroscience<\/li><li>Brain Informatics<\/li><li>Connectomics<\/li><li>Neural models of perception and action<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Neural Applications for<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>Bioinformatics<\/li><li>Biomedicine<\/li><li>Intelligent  Robotics<\/li><li>Neurorobotics<\/li><li>Language Processing<\/li><li>Image Processing<\/li><li>Sensor  Fusion<\/li><li>Pattern Recognition<\/li><li>Data Mining<\/li><li>Neural Agents<\/li><li>Brain-Computer  Interaction<\/li><li>Neural Hardware<\/li><li>Evolutionary Neural Networks<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes the following. Machine Learning Deep Learning Neural Network Theory Neural Network &hellip; <a href=\"https:\/\/e-nns.org\/icann2021\/conference-programme\/conference-topics\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Conference topics&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":68,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1022","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/pages\/1022","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/comments?post=1022"}],"version-history":[{"count":1,"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/pages\/1022\/revisions"}],"predecessor-version":[{"id":2353,"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/pages\/1022\/revisions\/2353"}],"up":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/pages\/68"}],"wp:attachment":[{"href":"https:\/\/e-nns.org\/icann2021\/wp-json\/wp\/v2\/media?parent=1022"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}