PT - JOURNAL ARTICLE AU - Deana A. Bodnar AU - Andrew H. Bass TI - Temporal Coding of Concurrent Acoustic Signals in Auditory Midbrain AID - 10.1523/JNEUROSCI.17-19-07553.1997 DP - 1997 Oct 01 TA - The Journal of Neuroscience PG - 7553--7564 VI - 17 IP - 19 4099 - http://www.jneurosci.org/content/17/19/7553.short 4100 - http://www.jneurosci.org/content/17/19/7553.full SO - J. Neurosci.1997 Oct 01; 17 AB - A fundamental problem faced by the auditory system of humans and other vertebrates is the segregation of concurrent vocal signals. To discriminate between individual vocalizations, the auditory system must extract information about each signal from the single temporal waveform that results from the summation of the simultaneous acoustic signals. Here, we present the first report of midbrain coding of simultaneous acoustic signals in a vocal species, the plainfin midshipman fish, that routinely encounters concurrent vocalizations. During the breeding season, nesting males congregate and produce long-duration, multiharmonic mate calls that overlap, producing beat waveforms. Neurophysiological responses to two simultaneous tones near the fundamental frequencies of natural calls reveal that midbrain units temporally code the difference frequency (dF). Many neurons are tuned to a specific dF; their selectivity overlaps the range of dFs for naturally occurring acoustic beats. Beats and amplitude-modulated (AM) signals are also coded differently by most units. Although some neurons exhibit differential tuning for beat dFs and the modulation frequencies (modFs) of AM signals, others exhibit similar temporal selectivity but differ in their degree of synchronization to dFs and modFs. The extraction of dF information, together with other auditory cues, could enable the detection and segregation of concurrent vocalizations, whereas differential responses to beats and AM signals could permit discrimination of beats from other AM-like signals produced by midshipman. A central code of beat dFs may be a general vertebrate mechanism used for coding concurrent acoustic signals, including human vowels.