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Published November 2012 | public
Journal Article

Signal-to-noise ratio in the membrane potential of the owl's auditory coincidence detectors

Abstract

Owls use interaural time differences (ITDs) to locate a sound source. They compute ITD in a specialized neural circuit that consists of axonal delay lines from the cochlear nucleus magnocellularis (NM) and coincidence detectors in the nucleus laminaris (NL). Recent physiological recordings have shown that tonal stimuli induce oscillatory membrane potentials in NL neurons (Funabiki K, Ashida G, Konishi M. J Neurosci 31: 15245–15256, 2011). The amplitude of these oscillations varies with ITD and is strongly correlated to the firing rate. The oscillation, termed the sound analog potential, has the same frequency as the stimulus tone and is presumed to originate from phase-locked synaptic inputs from NM fibers. To investigate how these oscillatory membrane potentials are generated, we applied recently developed signal-to-noise ratio (SNR) analysis techniques (Kuokkanen PT, Wagner H, Ashida G, Carr CE, Kempter R. J Neurophysiol 104: 2274–2290, 2010) to the intracellular waveforms obtained in vivo. Our theoretical prediction of the band-limited SNRs agreed with experimental data for mid- to high-frequency (>2 kHz) NL neurons. For low-frequency (≤2 kHz) NL neurons, however, measured SNRs were lower than theoretical predictions. These results suggest that the number of independent NM fibers converging onto each NL neuron and/or the population-averaged degree of phase-locking of the NM fibers could be significantly smaller in the low-frequency NL region than estimated for higher best-frequency NL.

Additional Information

© 2012 the American Physiological Society. Submitted 2 May 2012. Accepted 28 August 2012. First published August 29, 2012. This work was supported by National Institutes of Health Grants DC00436 (to C. E. Carr) and P30 DC04664 (to University of Maryland Center for the Comparative and Evolutionary Biology of Hearing), a Japan Society for the Promotion of Science postdoctoral fellowship and Grant-in-Aid for Scientific Research (B) (to K. Funabiki), fellowships from the Alexander von Humboldt Foundation and the Hanse-Wissenschaftskolleg (to G. Ashida and C. E. Carr), Bundesministerium für Bildung und Forschung (Bernstein Center for Computational Neuroscience Berlin Grant 01GQ1001A and Bernstein Focus "Neuronal Foundations of Learning" Grant 01GQ0972), and Deutsche Forschungsgemeinschaft Grant SFB 618 "Theoretical Biology." Author Contributions: G.A., K.F., and C.E.C. conception and design of research; G.A. and K.F. analyzed data; G.A., K.F., P.T.K., R.K., and C.E.C. interpreted results of experiments; G.A. prepared figures; G.A., K.F., and C.E.C. drafted manuscript; G.A., K.F., P.T.K., R.K., and C.E.C. edited and revised manuscript; G.A., K.F., P.T.K., R.K., and C.E.C. approved final version of manuscript; K.F. performed experiments.

Additional details

Created:
September 14, 2023
Modified:
October 23, 2023