Yin Liu

ORCID: 0000-0002-2377-2703
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About
Contact & Profiles
Research Areas
  • Hearing, Cochlea, Tinnitus, Genetics
  • Vestibular and auditory disorders
  • Hearing Loss and Rehabilitation
  • Heart Rate Variability and Autonomic Control
  • Neural dynamics and brain function
  • Color perception and design
  • Neurobiology and Insect Physiology Research
  • Neurogenesis and neuroplasticity mechanisms
  • Cardiovascular Syncope and Autonomic Disorders
  • Neuroscience of respiration and sleep
  • Regulation of Appetite and Obesity
  • Nerve injury and regeneration
  • Tactile and Sensory Interactions

Janelia Research Campus
2025

Tsinghua University
2021-2023

Howard Hughes Medical Institute
2012-2022

Stanford University
2020-2022

Johns Hopkins University
2012

Secrets of Meissner corpuscles The corpuscle, a mechanosensory end organ, was discovered more than 165 years ago and has since been found in the glabrous skin all mammals, including that on human fingertips. Although prominently featured textbooks, function corpuscle is unknown. Neubarth et al. generated adult mice without used them to show these alone mediate behavioral responses to, perception of, gentle forces (see Perspective by Marshall Patapoutian). Each innervated two molecularly...

10.1126/science.abb2751 article EN Science 2020-06-18

Androgen-Driven Sequestration Male and female mice differ in the neuronal patterns that serve mammary glands. Yin Liu et al. (p. 1357 ) now describe how gonadal hormones drive development of distinct male sensory innervations. Although both glands develop their innervation similarly early embryogenesis, once androgens take effect, developmental trajectories diverge. By birth, rich network neurons present is absent male. Androgens cause a switch from expression full-length neurotrophin...

10.1126/science.1228258 article EN Science 2012-12-06

Stimulus-frequency otoacoustic emissions (SFOAEs) can be useful tools for assessing cochlear function noninvasively. However, there is a lack of reports describing their utility in predicting hearing capabilities. Data model training were collected from 245 and 839 ears with normal sensorineural loss, respectively. Based on SFOAEs, this study developed an objective assessment system consisting three mutually independent modules, the routine test module fast used threshold prediction...

10.1177/23312165211059628 article EN cc-by-nc Trends in Hearing 2021-01-01

Objectives: This study aims to develop deep learning (DL) models for the quantitative prediction of hearing thresholds based on stimulus-frequency otoacoustic emissions (SFOAEs) evoked by swept tones. Design: A total 174 ears with normal and 388 sensorineural loss were studied. SFOAEs in 0.3 4.3 kHz frequency range recorded using linearly tones at a rate 2 Hz/msec, stimulus level changing from 40 60 dB SPL 10 steps. Four DL used predict octave frequencies 0.5 4 kHz. The models—a conventional...

10.1097/aud.0000000000001443 article EN Ear and Hearing 2023-11-22
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