{"id":5705,"date":"2026-09-23T20:25:03","date_gmt":"2026-09-23T20:25:03","guid":{"rendered":"https:\/\/e-nns.org\/icann2026\/?page_id=5705"},"modified":"2026-09-23T20:37:26","modified_gmt":"2026-09-23T20:37:26","slug":"best-paper-awards","status":"publish","type":"page","link":"https:\/\/e-nns.org\/icann2026\/best-paper-awards\/","title":{"rendered":"Best Paper Awards"},"content":{"rendered":"\n<p>The following contributions from the AI\/ML and Neuroscience areas were selected as Best Papers, and the winners were announced during the ENNS General Assembly on September 17, 2026.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Artificial Intelligence\/Machine Learning Area<\/h4>\n\n\n\n<h6 class=\"wp-block-heading\">Harmonic and Entropy Neural Modeling with Demographic Fusion for Speech-Based Depression Detection<\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Junkang Yang (University of Yamanashi)<\/li>\n\n\n\n<li>Hiromitsu Nishizaki (University of Yamanashi)<\/li>\n\n\n\n<li>Chee Siang Leow (University of Yamanashi)<\/li>\n\n\n\n<li>Lu Gan (Brunel University)<\/li>\n\n\n\n<li>Hongqing Liu (Chongqing University of Posts and Telecommunications)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Learning to Extrapolate in Industrial Data-Scarce Scenarios via Differential Ensemble Neural Networks<\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hao Huang (GE Vernova Advanced Research)<\/li>\n\n\n\n<li>Jinbo Cao (GE Vernova Advanced Research)<\/li>\n\n\n\n<li>John Karigiannis (GE Vernova Advanced Research)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Strengths and Limits of Foundation Models for Land Use Land Cover Classification<\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Magali Egger (Universit\u00e9 de Lausanne)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Neuroscience Area<\/h4>\n\n\n\n<h6 class=\"wp-block-heading\">A tool for Formal Verification of Probabilistic Spiking Neural Networks via Weight-Discretized Quotient Abstractions<\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Nikan Zandian Jazi (Universit\u00e9 C\u00f4te d&#8217;Azur)<\/li>\n\n\n\n<li>Elisabetta De Maria (Universit\u00e9 C\u00f4te d&#8217;Azur)<\/li>\n\n\n\n<li>Christopher Leturc (Universit\u00e9 C\u00f4te d&#8217;Azur)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Equivalence of approximation by networks of single- and multi-spike neurons<\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dominik Dold (University of Vienna)<\/li>\n\n\n\n<li>Philipp Petersen (University of Vienna)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">A Dynamic Neural Field Model of Chronotopic Map Formation<\/h6>\n\n\n\n<p>Paulo Barbosa (Universidade do Minho)<br>Flora Ferreira (Universidade do Porto)<br>Estela Bicho (ALGORTIMI Research Centre, Universidade do Minho)<br>Wolfram Erlhagen (Universidade do Minho)<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The following contributions from the AI\/ML and Neuroscience areas were selected as Best Papers, and the winners were announced during the ENNS General Assembly on September 17, 2026. Artificial Intelligence\/Machine Learning Area Harmonic and Entropy Neural Modeling with Demographic Fusion for Speech-Based Depression Detection Learning to Extrapolate in Industrial Data-Scarce Scenarios via Differential Ensemble Neural &hellip; <a href=\"https:\/\/e-nns.org\/icann2026\/best-paper-awards\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Best Paper Awards&#8221;<\/span><\/a><\/p>\n","protected":false},"author":140,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5705","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/pages\/5705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/users\/140"}],"replies":[{"embeddable":true,"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/comments?post=5705"}],"version-history":[{"count":3,"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/pages\/5705\/revisions"}],"predecessor-version":[{"id":5711,"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/pages\/5705\/revisions\/5711"}],"wp:attachment":[{"href":"https:\/\/e-nns.org\/icann2026\/wp-json\/wp\/v2\/media?parent=5705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}