A bionic self-driven retinomorphic eye with ionogel photosynaptic retina

A bionic self-driven retinomorphic eye with ionogel photosynaptic retina

10 April 2024 | Xu Luo, Chen Chen, Zixi He, Min Wang, Keyuan Pan, Xuemei Dong, Zifan Li, Bin Liu, Zicheng Zhang, Yueyue Wu, Chaoyi Ban, Rong Chen, Dengfeng Zhang, Kaili Wang, Qiye Wang, Junyue Li, Gang Lu, Juqing Liu, Zhengdong Liu & Wei Huang
A bionic self-driven retinomorphic eye with ionogel photosynaptic retina is introduced, which combines neuromorphic principles with retinal and ionogel engineering to create a self-powered hemispherical retinomorphic eye (SHR-E) with an ionogel heterojunction retina. The eye features photoreceptors that can detect broadband light (365–970 nm), have a wide field of view (180°), and exhibit photosynaptic behaviors, enabling biosimilar visual learning. The retinal photoreceptors are transplantable and conformal to any complex surface, enabling visual restoration for dynamic optical imaging and motion tracking. The self-powering trait is achieved through photothermoelectric induced ion drift within the ionogel, which is different from previous self-powered optical synapses. The ionogel heterojunction retina is highly conformal and stretchable, allowing it to adhere to any object with complex geometries. The SHR-E demonstrates self-driven photodetection, photothermal and thermoelectric effects, and phototunable synaptic behaviors, with a high responsivity of 75.87 μA W⁻¹. The eye also exhibits short-term synaptic plasticity, with a maximum paired-pulse facilitation index of 153%, and can perform visual learning and memory retention. The retinal photoreceptors are transplantable and can restore vision by replacing dysfunctional photoreceptors with healthy ones. The SHR-E is also conformal to various surfaces and can be used for robotic and artificial intelligence applications. The eye is capable of real-time visual imaging and motion tracking, with the ability to encode temporal information for moving vehicles. The study demonstrates the potential of ionogel heterojunctions as a sensing platform that is self-powered, healable, and soft, with the ability to convert incident photons into neuroelectric signals with retina-like tunable plasticity. The results show that ionogel heterostructure technology offers an ideal building block for multistimuli responsive bionic organs in artificial intelligence.A bionic self-driven retinomorphic eye with ionogel photosynaptic retina is introduced, which combines neuromorphic principles with retinal and ionogel engineering to create a self-powered hemispherical retinomorphic eye (SHR-E) with an ionogel heterojunction retina. The eye features photoreceptors that can detect broadband light (365–970 nm), have a wide field of view (180°), and exhibit photosynaptic behaviors, enabling biosimilar visual learning. The retinal photoreceptors are transplantable and conformal to any complex surface, enabling visual restoration for dynamic optical imaging and motion tracking. The self-powering trait is achieved through photothermoelectric induced ion drift within the ionogel, which is different from previous self-powered optical synapses. The ionogel heterojunction retina is highly conformal and stretchable, allowing it to adhere to any object with complex geometries. The SHR-E demonstrates self-driven photodetection, photothermal and thermoelectric effects, and phototunable synaptic behaviors, with a high responsivity of 75.87 μA W⁻¹. The eye also exhibits short-term synaptic plasticity, with a maximum paired-pulse facilitation index of 153%, and can perform visual learning and memory retention. The retinal photoreceptors are transplantable and can restore vision by replacing dysfunctional photoreceptors with healthy ones. The SHR-E is also conformal to various surfaces and can be used for robotic and artificial intelligence applications. The eye is capable of real-time visual imaging and motion tracking, with the ability to encode temporal information for moving vehicles. The study demonstrates the potential of ionogel heterojunctions as a sensing platform that is self-powered, healable, and soft, with the ability to convert incident photons into neuroelectric signals with retina-like tunable plasticity. The results show that ionogel heterostructure technology offers an ideal building block for multistimuli responsive bionic organs in artificial intelligence.
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