{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T15:05:23Z","timestamp":1789657523808,"version":"4.0.1"},"reference-count":53,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Materials"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Neuromorphic systems capable of directly interfacing with the physical world are essential for embodied intelligence, wearable bioelectronics, and adaptive human\u2010machine interaction. However, most artificial neurons process mechanical and chemical stimuli through external sensors and peripheral circuitry, rather than encoding multimodal information at the neuron\u2010level, limiting integration and functional coupling between stimuli and excitability. Here we report a flexible organic artificial neuron (OAN) that couples mechanical deformation and ionic environment to spiking dynamics through nonlinear mechano\u2010electrochemical interactions. The OAN, fabricated by additive manufacturing on flexible substrates, integrates an organic electrochemical nonlinear element exhibiting S\u2010shaped negative differential resistance (S\u2010NDR) with a nonlinear active load to generate low\u2010voltage oscillatory activity. Mechanical bending within the elastic regime and variations in electrolyte ion concentration reconfigure the relative position between the S\u2010NDR characteristic and the active\u2010load line in the current\u2010voltage plane, enabling deterministic transitions between quiescent and oscillatory states. The proposed OAN shows mechanically triggered firing, mechanically induced silencing, and chemically controlled reactivation. Numerical simulations quantitatively reproduce the nonlinear OAN operation and spiking behavior, providing predictive design guidelines. These findings establish a device\u2010level framework for multimodal organic neurons in which mechanical and ionic signals are directly encoded in device physics, opening avenues toward biointegrated neuromorphic systems.<\/jats:p>","DOI":"10.1002\/adma.75027","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T14:27:37Z","timestamp":1789655257000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano\u2010Electrochemical Coupling"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2119-9755","authenticated-orcid":false,"given":"Rassen","family":"Boukraa","sequence":"first","affiliation":[{"name":"Department of Information Engineering University of Brescia  Brescia 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USA"},{"name":"Department of Physics North Carolina State University  Raleigh USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7932-0677","authenticated-orcid":false,"given":"Fabrizio","family":"Torricelli","sequence":"additional","affiliation":[{"name":"Department of Information Engineering University of Brescia  Brescia 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