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Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement

Author

Listed:
  • Chengpeng Jiang

    (Nankai University
    Shenzhen Research Institute of Nankai University
    Zhejiang Lab)

  • Jiaqi Liu

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Yao Ni

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Shangda Qu

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Lu Liu

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Yue Li

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Lu Yang

    (Nankai University
    Shenzhen Research Institute of Nankai University)

  • Wentao Xu

    (Nankai University
    Shenzhen Research Institute of Nankai University)

Abstract

Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli are found in many animal species across different sensory modalities. By mimicking the multisensory integration of ocular-vestibular cues for enhanced spatial perception in macaques, a bioinspired motion-cognition nerve based on a flexible multisensory neuromorphic device is demonstrated. A fast, scalable and solution-processed fabrication strategy is developed to prepare a nanoparticle-doped two-dimensional (2D)-nanoflake thin film, exhibiting superior electrostatic gating capability and charge-carrier mobility. The multi-input neuromorphic device fabricated using this thin film shows history-dependent plasticity, stable linear modulation, and spatiotemporal integration capability. These characteristics ensure parallel, efficient processing of bimodal motion signals encoded as spikes and assigned with different perceptual weights. Motion-cognition function is realized by classifying the motion types using mean firing rates of encoded spikes and postsynaptic current of the device. Demonstrations of recognition of human activity types and drone flight modes reveal that the motion-cognition performance match the bio-plausible principles of perceptual enhancement by multisensory integration. Our system can be potentially applied in sensory robotics and smart wearables.

Suggested Citation

  • Chengpeng Jiang & Jiaqi Liu & Yao Ni & Shangda Qu & Lu Liu & Yue Li & Lu Yang & Wentao Xu, 2023. "Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36935-w
    DOI: 10.1038/s41467-023-36935-w
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    References listed on IDEAS

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    1. Zhaoyang Lin & Yuan Liu & Udayabagya Halim & Mengning Ding & Yuanyue Liu & Yiliu Wang & Chuancheng Jia & Peng Chen & Xidong Duan & Chen Wang & Frank Song & Mufan Li & Chengzhang Wan & Yu Huang & Xiang, 2018. "Solution-processable 2D semiconductors for high-performance large-area electronics," Nature, Nature, vol. 562(7726), pages 254-258, October.
    2. Xudong Ji & Bryan D. Paulsen & Gary K. K. Chik & Ruiheng Wu & Yuyang Yin & Paddy K. L. Chan & Jonathan Rivnay, 2021. "Mimicking associative learning using an ion-trapping non-volatile synaptic organic electrochemical transistor," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
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    Cited by:

    1. Pengzhan Li & Mingzhen Zhang & Qingli Zhou & Qinghua Zhang & Donggang Xie & Ge Li & Zhuohui Liu & Zheng Wang & Erjia Guo & Meng He & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2024. "Reconfigurable optoelectronic transistors for multimodal recognition," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Chengpeng Jiang & Honghuan Xu & Lu Yang & Jiaqi Liu & Yue Li & Kuniharu Takei & Wentao Xu, 2024. "Neuromorphic antennal sensory system," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Shangda Qu & Lin Sun & Song Zhang & Jiaqi Liu & Yue Li & Junchi Liu & Wentao Xu, 2023. "An artificially-intelligent cornea with tactile sensation enables sensory expansion and interaction," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Yao Ni & Jiaqi Liu & Hong Han & Qianbo Yu & Lu Yang & Zhipeng Xu & Chengpeng Jiang & Lu Liu & Wentao Xu, 2024. "Visualized in-sensor computing," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Muhtasim Ul Karim Sadaf & Najam U Sakib & Andrew Pannone & Harikrishnan Ravichandran & Saptarshi Das, 2023. "A bio-inspired visuotactile neuron for multisensory integration," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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