Prevalent Harmonic Interaction in the Bat Inferior Colliculus

Animal vocalizations and human speech are typically characterized by a complex spectrotemporal structure, composed of multiple harmonics, and patterned as temporally organized sequences. However, auditory research often employed simple artificial acoustic stimuli or their combinations. Here we addressed the question of whether the neuronal responses to natural echolocation call sequences can be predicted by manipulated sequences of incomplete constituents at the midbrain inferior colliculus (IC). We characterized the extracellular single-unit activity of IC neurons in the great roundleaf bat, <i>Hipposideros armiger</i> (both sexes), using natural call sequences, various manipulated sequences of incomplete vocalizations, and pure tones. We report that approximately two-thirds of IC neurons exhibited a harmonic interaction. Neurons with high harmonic interactions exhibited greater selectivity to natural call sequences, and the degree of harmonic interaction was robust to the natural amplitude variations between call harmonics. For 81% of the IC neurons, the responses to the natural echolocation call sequence could not be predicted by altered sequences of missing call components. Surprisingly, nearly 70% of the neurons that showed a harmonic interaction were characterized by a single excitatory response peak as revealed by pure tones. Our results suggest that prevalent harmonic processing has already emerged in the auditory midbrain IC in the echolocating bat.

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Publication Details

Journal
Journal of Neuroscience
Published
2024-10-18
DOI
https://doi.org/10.1523/jneurosci.0916-24.2024
Citations
5
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
2.55

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article

Prevalent Harmonic Interaction in the Bat Inferior Colliculus

Jinhong Luo, Zhongdan Cui, Kuiying Yin, Xindong Wang et al.
5 citations
Journal of Neuroscience
Animal Vocal Communication and Behavior
2.55
article

Prevalent Harmonic Interaction in the Bat Inferior Colliculus

Jinhong Luo, Zhongdan Cui, Kuiying Yin, Xindong Wang, Chao Yu
article en
5 citations

Abstract

Animal vocalizations and human speech are typically characterized by a complex spectrotemporal structure, composed of multiple harmonics, and patterned as temporally organized sequences. However, auditory research often employed simple artificial acoustic stimuli or their combinations. Here we addressed the question of whether the neuronal responses to natural echolocation call sequences can be predicted by manipulated sequences of incomplete constituents at the midbrain inferior colliculus (IC). We characterized the extracellular single-unit activity of IC neurons in the great roundleaf bat, <i>Hipposideros armiger</i> (both sexes), using natural call sequences, various manipulated sequences of incomplete vocalizations, and pure tones. We report that approximately two-thirds of IC neurons exhibited a harmonic interaction. Neurons with high harmonic interactions exhibited greater selectivity to natural call sequences, and the degree of harmonic interaction was robust to the natural amplitude variations between call harmonics. For 81% of the IC neurons, the responses to the natural echolocation call sequence could not be predicted by altered sequences of missing call components. Surprisingly, nearly 70% of the neurons that showed a harmonic interaction were characterized by a single excitatory response peak as revealed by pure tones. Our results suggest that prevalent harmonic processing has already emerged in the auditory midbrain IC in the echolocating bat.

Journal of NeuroscienceVol. 44(49)
Central China Normal University (CN), Institute of Electronics (CN)
National Natural Science Foundation of China, Central China Normal University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Animal Vocal Communication and Behavior
2.55
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Prevalent Harmonic Interaction in the Bat Inferior Colliculus — Jinhong Luo, Zhongdan Cui, et al. · Journal of Neuroscience (2024) | TGRS Research Map | TGRS