{"id":11775,"date":"2026-03-09T01:43:28","date_gmt":"2026-03-09T01:43:28","guid":{"rendered":"https:\/\/mcsoc-forum.org\/site\/?page_id=11775"},"modified":"2026-03-09T02:25:04","modified_gmt":"2026-03-09T02:25:04","slug":"neurocore-t5","status":"publish","type":"page","link":"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t5\/","title":{"rendered":"Analog, Mixed\u2011Signal, and Memristive Neuromorphic Systems"},"content":{"rendered":"\n<p>\n  <a href=\"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore\/\" style=\"font-weight: bold; color: #1b4d3e;\">\n    \u2190 Back to the NeuroCore 2026 Page\n  <\/a>\n<\/p>\n\n<div class=\"wp-block-group has-border-color has-medium-gray-border-color has-white-background-color has-background\" style=\"border-width:1px;border-radius:12px;padding-top:30px;padding-right:30px;padding-bottom:30px;padding-left:30px\">\n\n<h2 class=\"wp-block-heading has-text-color\" style=\"color:#00629b;text-transform:uppercase;letter-spacing:1px\">Session Chair<\/h2>\n<hr class=\"wp-block-separator has-text-color has-black-color has-alpha-channel-opacity has-black-background-color has-background is-style-wide\"\/>\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"margin-top:20px;margin-bottom:20px;grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" src=\"http:\/\/mcsoc-forum.org\/site\/wp-content\/uploads\/2022\/01\/scholar-e1643363446774.jpg\" alt=\"Dr.\" class=\"wp-image-2593 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><p class=\"has-large-font-size\"><strong><a href=\"https:\/\/scholar.google.com\/citations?user=P_dYs6UAAAAJ&amp;hl=fr\" style=\"text-decoration: none; color: #00629B;\">TBC<\/a><\/strong><br><span style=\"font-size: 0.9em; color: #555;\">TBC<\/span><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<p>The <strong>Track on Analog, Mixed\u2011Signal, and Memristive Neuromorphic Systems<\/strong> invites original research contributions that advance the design, modeling, and deployment of hardware systems inspired by biological neural computation. As the field moves toward ultra\u2011low\u2011power, high\u2011density, and event\u2011driven intelligence, analog and mixed\u2011signal circuits\u2014combined with emerging memristive technologies\u2014offer unprecedented opportunities for real\u2011time learning, high\u2011bandwidth sensing, and massively parallel neural processing. This track brings together researchers from circuits, devices, neuromorphic engineering, computer architecture, and computational neuroscience to explore innovations that push neuromorphic hardware to the next level. <\/p>\n\n\n\n<p>We welcome submissions including, but not limited to, the following areas:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Analog and Mixed\u2011Signal Neuromorphic Circuits<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Subthreshold analog neuron and synapse circuits<\/li>\n\n\n\n<li>Mixed\u2011signal SNN processors and event\u2011driven compute blocks<\/li>\n\n\n\n<li>Low\u2011power, low\u2011latency analog front\u2011ends for neuromorphic sensing<\/li>\n\n\n\n<li>Noise\u2011tolerant and variability\u2011aware circuit techniques<\/li>\n\n\n\n<li>On\u2011chip learning engines and adaptive analog circuits<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Memristive and Emerging\u2011Device Neuromorphic Systems<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Memristor\u2011based synapses and neurons (RRAM, PCM, FeFET, OxRAM, etc.)<\/li>\n\n\n\n<li>Crossbar arrays for in\u2011memory spiking computation<\/li>\n\n\n\n<li>Device\u2011circuit co\u2011design for learning rules (STDP, Hebbian, local plasticity)<\/li>\n\n\n\n<li>Reliability, endurance, and variability modeling for memristive SNNs<\/li>\n\n\n\n<li>Hybrid CMOS\u2013memristive neuromorphic architectures<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. System\u2011Level Integration and Architectures<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Large\u2011scale analog\/mixed\u2011signal neuromorphic processors<\/li>\n\n\n\n<li>3D\u2011IC, chiplet, and heterogeneous integration for neuromorphic systems<\/li>\n\n\n\n<li>Event\u2011driven communication fabrics and spike\u2011routing architectures<\/li>\n\n\n\n<li>Power, thermal, and noise management in analog neuromorphic platforms<\/li>\n\n\n\n<li>Multi\u2011sensor fusion using analog and mixed\u2011signal neuromorphic circuits<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Algorithms, Learning, and Co\u2011Design<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Algorithm\u2013circuit co\u2011design for analog and memristive neuromorphic hardware<\/li>\n\n\n\n<li>Learning rules optimized for analog or device\u2011level constraints<\/li>\n\n\n\n<li>Calibration, compensation, and adaptation techniques<\/li>\n\n\n\n<li>Mapping and programming frameworks for mixed\u2011signal neuromorphic systems<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Applications and Demonstrations<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real\u2011time robotics, autonomous systems, and sensorimotor control<\/li>\n\n\n\n<li>Event\u2011based vision, audition, and tactile processing<\/li>\n\n\n\n<li>Biomedical and brain\u2013machine interface applications<\/li>\n\n\n\n<li>Ultra\u2011low\u2011power edge intelligence and always\u2011on sensing<\/li>\n\n\n\n<li>Benchmarking methodologies and performance evaluation<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>\u2190 Back to the NeuroCore 2026 Page Session Chair TBCTBC The Track on Analog, Mixed\u2011Signal, and Memristive Neuromorphic Systems invites original research contributions that advance the design, modeling, and deployment of hardware systems inspired by biological neural computation. As the field moves toward ultra\u2011low\u2011power, high\u2011density, and event\u2011driven intelligence, analog and mixed\u2011signal circuits\u2014combined with emerging memristive &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t5\/\">Continue reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-11775","page","type-page","status-publish","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/11775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/comments?post=11775"}],"version-history":[{"count":3,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/11775\/revisions"}],"predecessor-version":[{"id":11791,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/11775\/revisions\/11791"}],"wp:attachment":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/media?parent=11775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}