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Machine vision, serving as the "eyes" of artificial intelligence (AI), is one of the key windows for AI to acquire external information. However, traditional machine vision relies on the Von Neumann architecture, where sensing, storage, and processing are separated. This architecture necessitates constant data transfer between different units, inevitably leading to high power consumption and latency. To address these challenges, A PtSe2 photosynaptic device with negative light response was prepared. The device showed an inhibitory postsynaptic current (IPSC) under light pulse stimulation, and achieved optically tunable synaptic behaviors, including double pulse facilitation (PPD), short-range plasticity (STP), and long-range plasticity (LTP). In addition, the device exhibits dependence on light duration, and the image in-situ sensing and storage functions are demonstrated and verified using a 3×3 sensor array. By using 28×28 device array combined with artificial neural network (ANN), the integrated perception-storage-preprocessing function of visual information is realized. The experimental results show that the image after preprocessing (denoising) reaches 91% accuracy after 100 epochs training. Finally,lasers with two representative wavelengths of 405 and 532 were chosen as the light sources in the experiment, and the I-V characteristic curves changes most under the blue light pulse of 450 nm, which is because the blue light has higher photon energy to produce negative light effect. Based on the different photocurrent of the device responding to different wavelengths of light, the photoelectric synaptic logic gates 'NOR','NAND' and 'XOR' are established, which enables image processing functions such as dilation, erosion and difference recognition. The device's power consumption is calculated to be 0.111nJ per spike. The research results show great potential to provide simplified information processing and effectively promote the application of negative photoconductivity of PtSe2, which should help advance more integrated and efficient NVS.
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Keywords:
- PtSe2 /
- Negative photoconductivity /
- Neuromorphic visual system /
- Sensing-storage-computing /
- Image logic operation
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