Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement
Gengxu Chen, Xipeng Yu, Changsong Gao, Yan Dai, Yanxue Hao, Rengjian Yu, Huipeng Chen, Tailiang Guo
Abstract
Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The CsPbBr 3 /TiO 2 core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET).