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However, most neuromorphic visual systems still rely on heterogeneous components that exploit only a single material functionality at a time, thereby increasing system complexity and fabrication costs. Here, we demonstrate a device\u2013algorithm co\u2010design for neuromorphic visual recognition based on multifunctional NbOBr\n                    <jats:sub>2<\/jats:sub>\n                    . By leveraging its anisotropic broadband photoresponse, robust in\u2010plane ferroelectricity, and integration with multilayer graphene, we realize three bio\u2010inspired core functions: anisotropic photoelectric synaptic preprocessing for retina\u2010like encoding, ferroelectric synaptic weight modulation for in\u2010memory weighted operations, and leaky integrate\u2010and\u2010fire (LIF) neuronal emulation for spike generation. With BDD100K driving scenes converted to drivable maps and encoded into two orthogonal polarization channels (c\u2010 and b\u2010axis; 0\u00b0\/90\u00b0), a device\u2010aware spiking neural network achieves a recognition accuracy of up to 94.2%, outperforming a standard SNN baseline (91.8%). These results illustrate how the intrinsic multifunctionality of a 2D ferroelectric can be harnessed to create compact, biologically plausible perception\u2013computation hardware for high\u2010performance neuromorphic vision.\n                  <\/jats:p>","DOI":"10.1002\/adma.74005","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T07:25:11Z","timestamp":1783754711000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Perception, Synaptic Plasticity, and Spiking Neuron Function Enabled by a 2D Ferroelectric NbOBr\n                    <sub>2<\/sub>\n                    for Neuromorphic Vision"],"prefix":"10.1002","volume":"38","author":[{"given":"Zhipeng","family":"Yu","sequence":"first","affiliation":[{"name":"Nanofabrication facility, Suzhou Institute of Nano\u2010Tech and Nano\u2010Bionics Chinese Academy of Sciences  Suzhou 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