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Updated: Sep 9, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
2D Tellurene-Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System
Jingyao Bian1,2, Zhuangzhuang Li1, Shuang Liang1
1State Key Laboratory of Integrated Optoelectronics, Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, Changchun, Jilin, 130024, China.
Abstract:
Neuromorphic multimodal perception of sensory systems can integrate the stimulation from different senses, thus enhancing the perception accuracy of organisms to understand the external environment. An optoelectronic memristor with the capability to combine multidimensional sensing and processing functions is highly desirable for developing efficient neuromorphic multimodal sensory systems (MSSs). In this work, a tellurene (Te) nanoflake-based optoelectronic memristor relying on solution plasma process (SPP) treatment is demonstrated for the first time, which is capable of combining infrared (IR) optical and electrical stimuli in a single synaptic device for a multisensory integration function. The multimode switching mechanisms can be attributed to the migration of SPP-induced defects under an electric field and the charge trapping/detrapping in those defects under light illumination. Furthermore, a multimode reservoir computing (MRC) system is realized to perform pattern recognition tasks using the IR optical (1022 nm) and electrical stimulations, including the fusion of visual and haptic multimode sensory and physiological recognition tasks. The accuracy of pattern recognition using MRC is obviously enhanced compared to that of individual sensory. This work provides a new approach to developing multimodal 2D Te-based MRC for the construction of highly efficient neuromorphic MSSs.
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