Organic electrochemical synaptic transistors for neuromorphic vision sensor

Yiming Shi

doi:10.1117/12.3038183

7 August 2024 Organic electrochemical synaptic transistors for neuromorphic vision sensor

Yiming Shi

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132290D (2024) https://doi.org/10.1117/12.3038183
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

Traditional machine vision based on von Neumann architecture suffers from the limitation of memory and computing separation. With the explosive growth of data, meeting the application requirements has become challenging due to the architecture. Artificial neuromorphic vision systems (ANVS) inspired by the human visual system (HVS) are considered a viable solution. Organic synaptic devices have great potential in neuromorphic computing. We propose an artificial neural visual system (ANVS) based on organic electrochemical synaptic transistors (OEST) and a photodiode array strategy in this work. The basic biological synaptic behaviors can be successfully achieved by optical stimulation. This system successfully simulated the human visual system and was able to perform feature extraction on color images, producing results that aligned with simulation expectations. Color images can achieve a recognition rate of 99.4% after OEST-based hardware convolutional kernel processing, whereas this rate drops to only 33.4% after processing through software convolutional kernels. Comparison of the recognition rates shows that the OEST-based hardware convolutional arrays are more closely matched to the mechanisms of the human eye's retina and can recognize various color images. Overall, this work demonstrates that OEST has great potential in the field of neuromorphic vision.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiming Shi "Organic electrochemical synaptic transistors for neuromorphic vision sensor", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132290D (7 August 2024); https://doi.org/10.1117/12.3038183

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KEYWORDS

Image processing

Convolution

Neurons

Feature extraction

Machine vision

Retina

Transistors

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