The Neural Mechanism for Detecting Song Rhythm

Daichi Yamada, Azusa Kamikouchi

Research output: Contribution to journalArticle

Abstract

Many animals use acoustic information to recognize conspecifics. The time interval between acoustic elements is a property that characterizes a particular sound. In vertebrates and invertebrates, a specific time interval between acoustic elements is represented as a selective pattern of neuronal activity. Excitatory and inhibitory inputs to the auditory neural circuit generate this selectivity. However, the direct causal link between these inhibitory systems and the behavioral response of an animal to a sound with a specific time interval remains unknown. To tackle this question, in this study, we used Drosophila melanogaster, which has a courtship song with a species-specific time interval. Song information in these flies is transmitted along the main songrelay neural pathway, through which the time interval selectivity of the neurons is sequentially transformed. Herein, we examined the mechanism that shapes the selectivity of the key secondary auditory neurons in this pathway, AMMC-B1. Calcium imaging experiments suggested that AMMC-B1 neurons receive GABAergic inhibitory inputs. Anatomical analysis suggested that two GABAergic neurons configure the feed-forward pathways onto the excitatory pathway between AMMC-B1 neurons and their upstream neurons. Calcium imaging and behavioral analysis suggested that each GABAergic neuron shaped the response selectivity of AMMC-B1 neurons, and suppressed the songresponse behavior of the flies. Based on these results, it therefore appears that GABAergic inhibitory feed-forward pathways shape the tuning pattern of AMMC-B1 neurons and adjust the fly's behavioral response to the song.

Original languageEnglish
Pages (from-to)599-609
Number of pages11
JournalBrain and nerve = Shinkei kenkyu no shinpo
Volume71
Issue number6
DOIs
Publication statusPublished - 2019 Jun 1
Externally publishedYes

ASJC Scopus subject areas

  • Clinical Neurology

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