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Jinhong Luo

Researcher at Johns Hopkins University

Publications -  32
Citations -  658

Jinhong Luo is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Human echolocation & Medicine. The author has an hindex of 14, co-authored 25 publications receiving 481 citations. Previous affiliations of Jinhong Luo include Northeast Normal University & Central China Normal University.

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How anthropogenic noise affects foraging.

TL;DR: It is found that traffic noise reduced foraging efficiency in most bats, and it is concluded that conservation policies may seriously underestimate numbers of species affected and the multilevel effects on animal fitness, if the mechanisms of disturbance are not considered.
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Linking the sender to the receiver: vocal adjustments by bats to maintain signal detection in noise

TL;DR: The findings demonstrate that the observed adjustments of signal parameters in noise are matched to how these parameters are processed in the receiver’s sensory system, thereby facilitating signal transmission in fluctuating environments.
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The Lombard Effect: From Acoustics to Neural Mechanisms.

TL;DR: It is proposed that the Lombard effect is driven by a subcortical neural network, which can be modulated by cortical processes, which offers mechanistic explanations for two fundamental features of the LombARD effect: its widespread taxonomic distribution across the vertebrate phylogenetic tree and the widely observed variations in compensation magnitude.
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Global warming alters sound transmission: differential impact on the prey detection ability of echolocating bats

TL;DR: It is shown that depending on call frequency, the prey detection volume of bats will either decrease or increase: species calling above a crossover frequency will lose and species emitting lower frequencies will gain prey detectionVolume, with crossover frequency and magnitude depending on the local climatic conditions.
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Three-dimensional auditory localization in the echolocating bat.

TL;DR: The bat achieves high spatial resolution through a biological sonar system that computes azimuth from inter-aural differences and elevation from spectral filtering by the ear to create a unified representation of 3D space.