A bioinspired configurable cochlea based on memristors

Lingli Cheng; Lingli Cheng; Lingli Cheng; Lili Gao; Xumeng Zhang; Xumeng Zhang; Zuheng Wu; Jiaxue Zhu; Jiaxue Zhu; Zhaoan Yu; Zhaoan Yu; Yue Yang; Yue Yang; Yanting Ding; Yanting Ding; Chao Li; Chao Li; Fangduo Zhu; Fangduo Zhu; Guangjian Wu; Guangjian Wu; Keji Zhou; Keji Zhou; Ming Wang; Ming Wang; Tuo Shi; Qi Liu; Qi Liu; Qi Liu

doi:10.3389/fnins.2022.982850

Frontiers in Neuroscience (Oct 2022)

A bioinspired configurable cochlea based on memristors

Lingli Cheng,
Lingli Cheng,
Lingli Cheng,
Lili Gao,
Xumeng Zhang,
Xumeng Zhang,
Zuheng Wu,
Jiaxue Zhu,
Jiaxue Zhu,
Zhaoan Yu,
Zhaoan Yu,
Yue Yang,
Yue Yang,
Yanting Ding,
Yanting Ding,
Chao Li,
Chao Li,
Fangduo Zhu,
Fangduo Zhu,
Guangjian Wu,
Guangjian Wu,
Keji Zhou,
Keji Zhou,
Ming Wang,
Ming Wang,
Tuo Shi,
Qi Liu,
Qi Liu,
Qi Liu

Affiliations

Lingli Cheng: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Lingli Cheng: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Lingli Cheng: School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China
Lili Gao: Zhejiang Laboratory, Hangzhou, China
Xumeng Zhang: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Xumeng Zhang: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Zuheng Wu: School of Integrated Circuit, Anhui University, Hefei, China
Jiaxue Zhu: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Jiaxue Zhu: School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China
Zhaoan Yu: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Zhaoan Yu: School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China
Yue Yang: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Yue Yang: School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China
Yanting Ding: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Yanting Ding: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Chao Li: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Chao Li: School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China
Fangduo Zhu: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Fangduo Zhu: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Guangjian Wu: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Guangjian Wu: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Keji Zhou: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Keji Zhou: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Ming Wang: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Ming Wang: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China
Tuo Shi: Zhejiang Laboratory, Hangzhou, China
Qi Liu: Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China
Qi Liu: Frontier Institute of Chip and System, Fudan University, Shanghai, China
Qi Liu: State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China

DOI: https://doi.org/10.3389/fnins.2022.982850
Journal volume & issue: Vol. 16

Abstract

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Cochleas are the basis for biology to process and recognize speech information, emulating which with electronic devices helps us construct high-efficient intelligent voice systems. Memristor provides novel physics for performing neuromorphic engineering beyond complementary metal-oxide-semiconductor technology. This work presents an artificial cochlea based on the shallen-key filter model configured with memristors, in which one filter emulates one channel. We first fabricate a memristor with the TiN/HfOx/TaOx/TiN structure to implement such a cochlea and demonstrate the non-volatile multilevel states through electrical operations. Then, we build the shallen-key filter circuit and experimentally demonstrate the frequency-selection function of cochlea’s five channels, whose central frequency is determined by the memristor’s resistance. To further demonstrate the feasibility of the cochlea for system applications, we use it to extract the speech signal features and then combine it with a convolutional neural network to recognize the Free Spoken Digit Dataset. The recognition accuracy reaches 92% with 64 channels, compatible with the traditional 64 Fourier transform transformation points of mel-frequency cepstral coefficients method with 95% recognition accuracy. This work provides a novel strategy for building cochleas, which has a great potential to conduct configurable, high-parallel, and high-efficient auditory systems for neuromorphic robots.

Published in Frontiers in Neuroscience

ISSN: 1662-4548 (Print); 1662-453X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: http://www.frontiersin.org/neuroscience

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