| SPECIAL TOPIC — Biophysical circuits: Modeling & applications in neuroscience |
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Brain-inspired memristive pooling method for enhanced edge computing |
| Wenbin Guo(郭文斌)†, Zhe Feng (冯哲)†, Haochen Wang (王昊辰), Zhihao Lin(蔺志豪), Jianxun Zou(邹建勋), Zuyu Xu(徐祖雨), Yunlai Zhu(朱云来)‡, Yuehua Dai (代月花)§, and Zuheng Wu (吴祖恒)¶ |
| School of Integrated Circuits, Anhui University, Hefei 230601, China |
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Abstract Edge deployment solutions based on convolutional neural networks (CNNs) have garnered significant attention because of their potential applications. However, traditional CNNs rely on pooling to reduce the feature size, leading to substantial information loss and reduced network robustness. Herein, we propose a more robust adaptive pooling network (APN) method implemented using memristor technology. Our method introduces an improved pooling layer that reduces input features to an arbitrary scale without compromising their importance. Different coupling coefficients of the pooling layer are stored as conductance values in arrays. We validate the proposed APN on generic datasets, demonstrating significant performance improvements over previously reported CNN architectures. Additionally, we evaluate the APN on a CAPTCHA recognition task with perturbations to assess network robustness. The results show that the APN achieves 92.6% accuracy in 4-digit CAPTCHA recognition and exhibits higher robustness. This brief presents a highly robust and novel scheme for edge computing using memristor technology.
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Received: 24 June 2025
Revised: 25 August 2025
Accepted manuscript online: 26 August 2025
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PACS:
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73.40.Sx
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(Metal-semiconductor-metal structures)
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84.35.+i
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(Neural networks)
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07.05.Pj
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(Image processing)
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87.19.lv
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(Learning and memory)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 62274002, 62304001, and 62201005), the Anhui Provincial Natural Science Foundation (Grant Nos. 2308085QF213 and 2408085QF211), and the Natural Science Research Project of the Anhui Educational Committee (Grant No. 2023AH050072). |
Corresponding Authors:
Yunlai Zhu, Yuehua Dai, Zuheng Wu
E-mail: zhuyunlai@ahu.edu.cn;daiyuehua@ahu.edu.cn;wuzuheng@ahu.edu.cn
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Cite this article:
Wenbin Guo(郭文斌), Zhe Feng (冯哲), Haochen Wang (王昊辰), Zhihao Lin(蔺志豪), Jianxun Zou(邹建勋), Zuyu Xu(徐祖雨), Yunlai Zhu(朱云来), Yuehua Dai (代月花), and Zuheng Wu (吴祖恒) Brain-inspired memristive pooling method for enhanced edge computing 2025 Chin. Phys. B 34 127301
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[1] Abiodun O I, Jantan A, Omolara A E, Dada K V, Mohamed N A and Arshad H 2018 Heliyon 4 e00938
[2] Szegedy C, Vanhoucke V, Ioffe S, Shlens J and Wojna Z 2016 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) pps. 2818–2826
[3] Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J and Chen T 2018 Pattern Recognit. 77 354
[4] Abdel-Hamid O, Mohamed A R, Jiang H, Deng L, Penn G and Yu D 2014 IEEEACM Trans. Audio Speech Lang. Process. 22 1533
[5] Kundu S, Ganganaik P B, Louis J, Chalamalasetty H and Rao B P 2022 IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 30 755
[6] Dai Y, Guo W, Feng Z, Xu Z, Zhu Y, Yang F and Wu Z 2023 Adv. Intell. Syst. 5 2200455
[7] Yan X, Li Z and Li C 2024 Chin. Phys. B 33 028705
[8] Li Z, Xie W, Zeng J and Zeng Y 2023 Chin. Phys. B 32 010503
[9] Lu J, Xie X, Lu Y, Wu Y, Li C and Ma M 2024 Chin. Phys. B 33 048701
[10] Dai Y, Wang Z, Feng Z, Zou J, Guo W, Tan S, Yu R, Hu Y, Qian Z, Hu J, Xu Z, Zhu Y and Wu Z 2024 Nanotechnology 35 475201
[11] Zou J, Zhu Y, Feng Z, Li X, Guo W, Qian Z, Qiu Y, Chen H, Xu Z, Dai Y and Wu Z 2024 IEEE Trans. Circuits Syst. Ⅱ Express Briefs 71 3288
[12] Zhang X, Wang X, Ge Z, Li Z, Wu M and Borah S S 2022 Micromachines 13 2074
[13] Wang X, Bao X, Li X, Chen X, Liu G, Kang S and Iu H H 2024 Nonlinear Dyn. 112 20353
[14] Yao P, Wu H, Gao B, Tang J, Zhang Q, Zhang W, Yang J and Qian H 2020 Nature 577 641
[15] Lin P, Li C, Wang Z, Li Y, Jiang H, Song W, Rao M, Zhuo Y, Upadhyay N, Barnell M, Wu Q, Yang J and Xia Q 2020 Nat. Electron. 3 225
[16] Yu A H, Tang M, Li G, Hou B P, Xuan Z W, Zhu B H and Chen T L 2021 Atmosphere 12
[17] Gajera H K, Zaveri M A and Nayak D R 2022 Int. J. Imaging Syst. Technol. 32 1774
[18] Li W, Shang Z, Qian S, Zhang B, Zhang J and Gao M 2022 Expert Syst. Appl. 205
[19] Gao Z, Wang L and Wu G 2023 Int. J. Comput. Vis. 131 363
[20] Babicz D, Kontar S, Peto M, Fulop A, Szabo G and Horvath A 2021 IEEE Winter Conf. Appl. Comput. Vis. (WACV)
[21] Sun M, Song Z, Jiang X, Pan J and Pang Y 2017 Neurocomputing 224 96
[22] Opris I and Casanova M F 2014 Brain 137 1863
[23] Wang Y and Sun Q Q 2021 Cell Rep. 36 109733
[24] Sabour S, Frosst N and Hinton G E 2017 Adv. Neural Inf. Process. Syst. 30
[25] Feng Z, Wu Z, Zou J, Cheng L, Zhao X, Zhang X, Lu J, Wang C, Wang Y, Wang H, Guo W, Qian Z, Zhu Y, Xu Z, Dai Y and Liu Q 2025 Nat. Commun. 16 4925
[26] Zhang G, Kato J, Wang Y and Mase K 2015 3rd IAPR Asian Conf. Pattern Recognit. (ACPR) pp. 479
[27] Nguyen H N and Lee C 2018 J. IEEE 22 14
[28] Ahmed K, Baig M H and Torresani L 2016 14th Eur. Conf. Comput. Vis. (ECCV) pp. 516
[29] Von Ahn L, Blum M, Hopper N J and Langford J 2003 Adv. Cryptol. EUROCRYPT 2003 294
[30] Idros N, Rosli A, Aziz Z, Rajendran J and Marzuki A 2021 Microelectron. Int. 38 46 |
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