A Novel Neuromorphic Display Platform for Ambient Light Adaptive Display
Zexuan Ren, Xianghong Zhang, Shuai Liu, Di Liu, Ningpu Qin, Tailiang Guo, Huipeng Chen
Fuzhou University
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摘要与影响
Display circuits play a pivotal role in visual information interaction, but traditional 2T1C display circuits suffer from the separation of storage and computation. Neuromorphic display combines the artificial synapse and light-emitting units into the pixel circuit, empowering the display with smart interaction capability. In this work, we built a novel ambient light adaptive neuromorphic display platform (ALAND) by combining a display driver circuit with the optoelectronic synaptic transistor. The optoelectronic synaptic transistor can perform multiple conduction states under the control of light and electric stimulation, including a 4-bit optical modulation grayscale. Moreover, it can make adaptive decisions according to various ambient lights. This work provides a potentially valuable novel strategy for a more comfortable and clearer visual information interaction.
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工程Advanced Memory and Neural Computing
Analog and Mixed-Signal Circuit Design · Thin-Film Transistor Technologies
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