Type II mechanoreceptors and cuneate spiking neuronal network enable touch localization on a large-area e-skin

Abstract The sense of touch is essential for humans to perceive, locate and react to physical stimuli. Notwithstanding the substantial advancements in e-skin research and related applications with collaborative robots and bionic prostheses, biomimetic intelligence remains a challenge in the attempt to understand and mimic somatosensory processing schemes. In this work, we present a large-area e-skin embedded with photonic fibre Bragg gratings, capable of decoding touch localization through a bioinspired two-layered spiking neuronal network. The implemented biomimicry of slowly adapting and fast-adapting type II primary afferents, cuneate neurons with overlapping receptive fields and neuroplasticity, enable unsupervised learning in localizing tactile stimuli with an error lower than 10 mm, and two-point discrimination thresholds matching human psychophysical thresholds in the forearm. These results align with biological findings and offer a promising step towards the development of bionic systems, opening new avenues for both practical applications and scientific explorations of somatosensation.

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Publication Details

Journal
Nature Machine Intelligence
Published
2025-08-04
DOI
https://doi.org/10.1038/s42256-025-01076-w
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.70

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article

Type II mechanoreceptors and cuneate spiking neuronal network enable touch localization on a large-area e-skin

Ana Clara Pereira Resende da Costa, Calogero Maria Oddo, Mariangela Filosa
4 citations
Nature Machine Intelligence
Advanced Sensor and Energy Harvesting Materials
2.70
article

Type II mechanoreceptors and cuneate spiking neuronal network enable touch localization on a large-area e-skin

Ana Clara Pereira Resende da Costa, Calogero Maria Oddo, Mariangela Filosa
article en
4 citations

Abstract

Abstract The sense of touch is essential for humans to perceive, locate and react to physical stimuli. Notwithstanding the substantial advancements in e-skin research and related applications with collaborative robots and bionic prostheses, biomimetic intelligence remains a challenge in the attempt to understand and mimic somatosensory processing schemes. In this work, we present a large-area e-skin embedded with photonic fibre Bragg gratings, capable of decoding touch localization through a bioinspired two-layered spiking neuronal network. The implemented biomimicry of slowly adapting and fast-adapting type II primary afferents, cuneate neurons with overlapping receptive fields and neuroplasticity, enable unsupervised learning in localizing tactile stimuli with an error lower than 10 mm, and two-point discrimination thresholds matching human psychophysical thresholds in the forearm. These results align with biological findings and offer a promising step towards the development of bionic systems, opening new avenues for both practical applications and scientific explorations of somatosensation.

Nature Machine IntelligenceVol. 7(8)
Scuola Superiore Sant'Anna (IT), Universidade Federal de Uberlândia (BR)
European Commission, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Financiadora de Estudos e Projetos, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Regione Toscana
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
2.70
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