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However, due to the difficulty in emulating the complex ion movement dynamics within neurons, the use of hardware to comprehensively emulate neuronal firing dynamics for encoding function replication remains challenging. Herein, we report a bio\u2010inspired artificial neuron based on a Cs\n                    <jats:sub>2<\/jats:sub>\n                    AgBiBr\n                    <jats:sub>6<\/jats:sub>\n                    memristor, which can replicate both neuronal firing and refractory period behaviors for motion information processing. We demonstrate that the bidirectional migration of Ag\n                    <jats:sup>+<\/jats:sup>\n                    and Br\n                    <jats:sup>\u2212<\/jats:sup>\n                    ions within Cs\n                    <jats:sub>2<\/jats:sub>\n                    AgBiBr\n                    <jats:sub>6<\/jats:sub>\n                    can induce threshold conductance switching along with a strong built\u2010in internal electric potential, mimicking neuronal excitation\u2013resting responses to voltage pulse stimuli. The artificial neurons can dynamically respond to continuous inputs from moving objects, encoding motion features (such as velocity, direction, and acceleration), into compressed feature maps for accurate classification and trajectory prediction. Our biomimetic encoding and prediction framework offers a promising strategy for developing neuromorphic systems with biologically realistic behaviors that may rival the capabilities of the human brain in processing complex dynamic information.\n                  <\/jats:p>","DOI":"10.1002\/adma.202519352","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T07:52:43Z","timestamp":1767599563000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Artificial Refractory Neuron Based on Cs\n                    <sub>2<\/sub>\n                    AgBiBr\n                    <sub>6<\/sub>\n                    Nanoionic Memristor for Efficient Motion Information Processing"],"prefix":"10.1002","author":[{"given":"Xuerong","family":"Liu","sequence":"first","affiliation":[{"name":"Zhejiang Key Laboratory of Magnetic Materials and Applications Ningbo Institute of Materials Technology &amp; Engineering CAS  Ningbo China"},{"name":"Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences  Beijing China"},{"name":"University of Chinese Academy of Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjie","family":"Shao","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Magnetic Materials and Applications Ningbo Institute of Materials Technology &amp; Engineering CAS  Ningbo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7188-7257","authenticated-orcid":false,"given":"Xiaojian","family":"Zhu","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Magnetic Materials and Applications Ningbo Institute of Materials Technology &amp; Engineering CAS  Ningbo China"},{"name":"Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences  Beijing China"},{"name":"University of Chinese Academy of Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixun","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering and Computer Science Ningbo University  Ningbo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Tan","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Polymer Research  Mainz Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Hu","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Magnetic Materials and Applications Ningbo Institute of Materials Technology &amp; Engineering CAS  Ningbo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering and Computer Science Ningbo University  Ningbo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Run\u2010Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Magnetic Materials and Applications Ningbo Institute of Materials Technology &amp; Engineering CAS  Ningbo China"},{"name":"Eastern Institute of Technology  Ningbo 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