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Updated: Feb 16, 2026

Visualizing Visual Adaptation
Published on: April 24, 2017
Intrinsically stretchable all-polymer neuromorphic visual adaptive transistors based on
Chengyu Wang1,2,3, Mingcong Qin1,2, Jianzhe Sun1,2
1Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry Chinese Academy of Sciences, Beijing, China.
Abstract:
Stretchable neuromorphic optoelectronics requiring real-time perception and dynamic adaptive processing create tempting opportunities for wearable intelligent vision equipment. Existing bionic vision devices often lack scale-modulus deformable photosensitive materials and exhibit redundant manufacturing for complex structures to integrate optical neurofunctions, highlighting a critical gap in achieving both ductility and multifunctionality. Herein, we propose a defect-tunable viscoelastic photosensitive bulk-heterojunction based on multidimensional-phase-separation-induced micromesh for all-organic intrinsically stretchable neuromorphic visual adaptive transistors. The resultant devices demonstrate maintained high photosensitivity and multimodal broad-wavelength photoadaptation even under 100% biaxial mechanical strain. Notably, a record-ultrafast adaptive time down to 0.4 s is achieved by the all-organic intrinsically stretchable visual adaptive transistors, allowing a high energy-saving ratio of 88.4%. Moreover, a low paired-pulse depression index down to 44.37% is also accomplished, exhibiting the ability of abnormal discharges reduction and normal neural network function restore. The superior bionic visual adaptive systems allowing detailed time-varying intelligent information conversion, can realize highly misleading encrypted wireless optical communications. Furthermore, contrast vision-adaptive pixels are successfully constructed to avoid element absence for advanced driving assistance systems simulation in extreme environments. This technology promises to advance skin-like neuromorphic vision systems for applications including visual cryptography, bioinspired robots and unmanned intelligence.
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