Evidence map›Paper›PMID 40961198›Full record

ArticleScience advances2025

A flexible spiking hair sensillum for ultralow power density noncontact perception.

Haotian Long, Zhenhua Wan, Mengjiao Pei, Kailu Shi, Lesheng Qiao, Yi Shi, Qing Wan, Changjin Wan

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Haotian LongSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0009-0005-8127-439X
Zhenhua WanSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0009-0001-5397-834X
Mengjiao PeiSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.
Kailu ShiSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0000-0003-0090-6454
Lesheng QiaoSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0009-0004-3957-464X
Yi ShiSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0000-0002-1082-0315
Qing WanYongjiang Laboratory (Y-LAB), Ningbo 315202, China.ORCID 0000-0001-5234-9456
Changjin WanSchool of Electronic Science and Engineering, National Key Laboratory of Spintronics, National Laboratory of Solid-State Microstructures, Nanjing University, Nanjing 210023, China.ORCID 0000-0002-3210-6673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to recognize targets before physical contact is crucial for organisms' adaptability to real-world environments. However, current noncontact sensing systems face challenges in power density and biological fidelity. Here, we report a flexible spiking hair sensillum (FISH) with an ultralow power density < 100 nanowatts per square millimeter for achieving noncontact tactile perception (NCTP). This device can transduce proximity or airflow into spike trains with a frequency range of ~500 to 1500 hertz. A spiking NCTP system is developed, achieving high accuracy (>92%) in multidimensional recognition of noncontact targets, mediated by airflow. Furthermore, we show that a spider robot equipped with a FISH matrix outperforms one relying exclusively on machine vision in tasks of predation and evasion, demonstrating high adaptability to complex environments. Our design enriches the perceptual modalities for neuromorphic systems, offering great potential for advancing future robotics and autonomous vehicles.

Indexed as

HairTouch PerceptionAnimalsRoboticsSpiders

Identifiers

PMID40961198
PMCPMC12442862

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.