{"id":11461,"date":"2026-02-10T06:20:22","date_gmt":"2026-02-10T06:20:22","guid":{"rendered":"https:\/\/mcsoc-forum.org\/site\/?page_id=11461"},"modified":"2026-03-09T02:24:10","modified_gmt":"2026-03-09T02:24:10","slug":"neurocore-t4","status":"publish","type":"page","link":"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t4\/","title":{"rendered":"Neuromorphic Intelligence: Circuits, Systems, and Architectures"},"content":{"rendered":"\n
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\n \n \u2190 Back to the NeuroCore 2026 Page\n <\/a>\n<\/p>\n

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Track Chair<\/h2>\n
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\"Kaijie<\/figure>

Kaijie Wei<\/a><\/strong>
Keio University<\/span><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

Neuromorphic intelligence is entering a decisive phase, driven by breakthroughs in brain\u2011inspired algorithms, emerging device technologies, and scalable architectures capable of real\u2011time, energy\u2011efficient learning. This track invites high\u2011quality contributions that push the boundaries of neuromorphic computing\u2014from fundamental circuits and devices to full\u2011stack systems and large\u2011scale architectures. We welcome original research, visionary concepts, and practical implementations that advance the state of the art in neuromorphic engineering and its applications across sensing, robotics, edge intelligence, autonomous systems, and next\u2011generation AI.<\/p>\n\n\n\n

Topics of interest include, but are not limited to:<\/strong><\/h4>\n\n\n\n

Neuromorphic Circuits & Devices<\/strong><\/h3>\n\n\n\n
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  • Analog, digital, and mixed\u2011signal neuromorphic circuits<\/li>\n\n\n\n
  • Emerging devices for synapses and neurons (RRAM, PCM, FeFET, memristors, spintronics, photonics)<\/li>\n\n\n\n
  • Low\u2011power, event\u2011driven circuit design<\/li>\n\n\n\n
  • On\u2011chip learning mechanisms and plasticity circuits<\/li>\n<\/ul>\n\n\n\n

    Neuromorphic Architectures & Systems<\/strong><\/h3>\n\n\n\n
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    • Scalable neuromorphic processors and multi\u2011core architectures<\/li>\n\n\n\n
    • Event\u2011driven and asynchronous architectures<\/li>\n\n\n\n
    • 3D integration, in\u2011memory computing, and compute\u2011near\u2011memory systems<\/li>\n\n\n\n
    • Hardware acceleration for spiking neural networks (SNNs) and brain\u2011inspired models<\/li>\n\n\n\n
    • Neuromorphic SoCs for edge and embedded intelligence<\/li>\n<\/ul>\n\n\n\n

      Algorithms, Models, and Co\u2011Design<\/strong><\/h3>\n\n\n\n
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      • Learning algorithms for SNNs (STDP, R-STDP, backprop\u2011through\u2011time, local learning rules)<\/li>\n\n\n\n
      • Bio\u2011inspired computation models and cognitive architectures<\/li>\n\n\n\n
      • Hardware\u2013algorithm co\u2011design and optimization<\/li>\n\n\n\n
      • Tools, compilers, and simulation frameworks for neuromorphic systems<\/li>\n<\/ul>\n\n\n\n

        Applications of Neuromorphic Intelligence<\/strong><\/h3>\n\n\n\n
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        • Robotics, autonomous systems, and real\u2011time control<\/li>\n\n\n\n
        • Event\u2011based vision, auditory processing, and multimodal sensing<\/li>\n\n\n\n
        • Edge AI, IoT, and ultra\u2011low\u2011power inference<\/li>\n\n\n\n
        • Brain\u2013machine interfaces and computational neuroscience<\/li>\n<\/ul>\n\n\n\n

          <\/p>\n\n\n\n