PT  - JOURNAL ARTICLE
AU  - Christofer J. Edwards
AU  - Christopher J. Leary
AU  - Gary J. Rose
TI  - Counting on Inhibition and Rate-Dependent Excitation in the Auditory System
AID  - 10.1523/JNEUROSCI.2816-07.2007
DP  - 2007 Dec 05
TA  - The Journal of Neuroscience
PG  - 13384--13392
VI  - 27
IP  - 49
4099  - http://www.jneurosci.org/content/27/49/13384.short
4100  - http://www.jneurosci.org/content/27/49/13384.full
SO  - J. Neurosci.2007 Dec 05; 27
AB  - The intervals between acoustic elements are important in audition. Although neurons have been recorded that show interval tuning, the underlying mechanisms are unclear. The anuran auditory system is well suited for addressing this problem. One class of midbrain neurons in anurans responds selectively over a narrow range of pulse-repetition rates (PRRs) and only after several sound pulses have occurred with the “correct” timing. This “interval-counting” process can be reset by a single incorrect interval. Here we show, from whole-cell patch recordings of midbrain neurons in vivo, that these computations result from interplay between inhibition and rate-dependent excitation. An individual pulse or slowly repeated pulses elicited inhibition and subthreshold excitation. Excitation was markedly enhanced, however, when PRR was increased over a neuron-specific range. Spikes were produced when the enhanced excitation overcame the inhibition. Interval-number thresholds were positively correlated with the strength of inhibition and number of intervals required to augment the excitation. Accordingly, interval-number thresholds decreased when inhibition was attenuated by loading cells with cesium fluoride. The selectivity of these neurons for the interpulse interval, and therefore PRR, was related to the time course of excitatory events and the rate dependence of enhancement; for cells that were tuned to longer intervals, EPSPs were broader, and enhancement occurred at slower PRRs. The frequency tuning of the inhibition generally spanned that of the excitation, consistent with its role in temporal computation. These findings provide the first mechanistic understanding of interval selectivity and counting in the nervous system.