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Constructing bionic devices with multitype feedback to emulate the retina behaviors in complex environments has been a persistent pursuit to broaden the visual range. However, the definition and regulation of synaptic weights persist as a bottleneck problem in the terahertz (THz) devices to achieve neuromorphic function. Here, we have proposed bismuth\u2010based THz photonic neuromorphic devices with picosecond short\u2010term plasticity and constructed the THz\u2010optical neural network (THz\u2010ONN) to imitate retina function. Crucially, the weight embodied by THz photoresponse can be precisely regulated via incremental optical pulses, delivering an incredibly simple yet powerful approach that heralds systems with a continuously variable plasticity. Further development of diverse neuromorphic devices for various scenarios could be realized through the combination of band alignment engineering and substrate effects to control photocarrier transport. The corresponding neuromorphic computing based on THz\u2010ONN indicates the high recognition accuracy of hardware. The present study provides an exciting paradigm for the realization of THz neuromorphic devices and opens an avenue for mimicking biological sensory system.<\/jats:p>","DOI":"10.1002\/advs.75145","type":"journal-article","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:31:51Z","timestamp":1775154711000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Retina\u2010Inspired Bi\u2010Based Terahertz Photonic Neuromorphic Devices"],"prefix":"10.1002","author":[{"given":"Pujing","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Terahertz Optoelectronics Ministry of Education and Beijing Advanced Innovation Center for Imaging Theory and Technology Department of Physics Capital Normal University  Beijing P. R. 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