Elsevier

Neuroscience Research

Volume 59, Issue 4, December 2007, Pages 370-376
Neuroscience Research

Update article
Cellular and molecular mechanisms of avian auditory coincidence detection

https://doi.org/10.1016/j.neures.2007.08.003Get rights and content

Abstract

Sound localization along the horizontal plane begins with comparing sound arrival times at the two ears in the brainstem coincidence detector neurons. Coincidence detectors are functionally as well as morphologically specialized depending on the frequency of sounds that they handle, and the expression of various channel molecules underlies these specializations. Some voltage-gated K+ channels determine the acuity of coincidence detection, and are expressed most abundantly in the middle-frequency-coding neurons. Some hyperpolarization-activated channels are dominant in the high-frequency-coding neurons, and enable a delicate modulation of coincidence detection by noradrenalin. Axonal clustering of Na+ channels is also frequency-dependent, and optimizes the coincidence detection. This article aims to provide an overview of recent findings in the cellular and molecular mechanisms of auditory coincidence detection in birds.

Introduction

Localizing sound sources is essential for the survival of animals. It enables animals to avoid danger, or to catch their prey. Sound localization along the horizontal plane requires detecting a small time difference in the sound arrivals between the two ears (interaural time difference, ITD) (Klumpp and Eady, 1956, Moiseff and Konishi, 1981). ITDs are extracted by brainstem neurons that act as coincidence detectors of binaural excitatory synaptic inputs (Jeffress, 1948). Although some differences are proposed in the strategy of encoding ITDs between birds and mammals, coincidence detectors play a key role in the extraction of ITDs in both species (Konishi, 2003, McAlpine and Grothe, 2003). Resolution of sound localization is extremely high, and the resolvable angle of sound source separation is less than 30° along the horizontal plane in many species (cat, Casseday and Neff, 1973; rat, Masterton et al., 1975; songbirds, Klump et al., 1986, Park and Dooling, 1991, Klump, 2000). Especially in the human and the barn owl, the resolvable angle is as small as 1° (Mills, 1958, Knudsen and Konishi, 1979), which corresponds to 10 μs and 3 μs of ITDs, respectively. This resolution of time is outstanding, considering the fact that action potentials often have a duration of the order of a millisecond in the brain (Stuart et al., 1997).

Acuity to localize azimuthal sound sources depends on the frequency of sounds. In the human, the acuity is the highest at 1 kHz within the low-frequency band (0.5–1.5 kHz, Mills, 1958). In various avian species, the highest acuity is achieved at the middle range of their audible frequencies (Klump, 2000), for example 4 kHz in the barn owl (Knudsen and Konishi, 1979) and the canary (Park and Dooling, 1991), and 2 kHz in the great tit (Klump et al., 1986). The frequency to provide the highest acuity differs among species, and might be related to the behavior and environment of animals (Marler, 1955, Klump et al., 1986, Park and Dooling, 1991) as well as the properties of the ear and neural pathways. In the auditory system, neurons are tuned to a specific frequency of sound (characteristic frequency, CF), and information is processed separately by frequency-specific neurons (Brugge, 1992, Klump, 2000). Extraction of ITDs is also frequency specific (Carr and Konishi, 1990, Yin and Chan, 1990). To accomplish this frequency-specific task, coincidence detectors are specialized in morphology depending on the CF (Smith and Rubel, 1979). Recently, a series of studies in the chicken have revealed that the coincidence detectors are also specialized functionally at each CF (Kuba et al., 2005, Kuba et al., 2006, Yamada et al., 2005). These specializations include the type and the number of ion channels, and their subcellular localization.

In this article, we summarize recent findings in the cellular and molecular mechanisms of auditory coincidence detection in birds with some reference to mammals. Most of our descriptions are about how chicken coincidence detector neurons can achieve a microsecond order of acuity and how they are functionally specialized depending on the CF.

Section snippets

Low-threshold K+ current plays a crucial role in coincidence detection

Extraction of ITDs in birds is explained on the classical Jeffress model (1948), which requires delay lines and an array of coincidence detectors. Delay lines produce delays in the arrival times of action potentials to each coincidence detector, while the coincidence detectors fire maximally when they receive simultaneous synaptic inputs from both ears. These two elements allow each ITD to be encoded as the place of the most active neuron in the array. In birds, ITDs are extracted in the

Acuity of coincidence detection is frequency-dependent

NL is tonotopically organized so that the CF of neurons decreases from the rostro-medial (high CF) to the caudo-lateral (low CF) direction (Rubel and Parks, 1975), and ITDs are determined separately by frequency-specific NL neurons. Kuba et al. (2005) examined the coincidence detection of NL neurons along the tonotopic axis in the chicken. NL neurons were classified into three groups according to the CF (Fig. 2A), and their half-peak width of coincidence detection was measured. The half-peak

Noradrenergic control of coincidence detection

Hyperpolarization-activated cation current (Ih) is another major conductance activated at the rest in NL neurons (Kuba et al., 2002b). Ih has slow activation and deactivation kinetics, and has the reversal potential positive to the resting membrane potential (−50 to −20 mV) (Pape, 1996). These allow Ih to accelerate the EPSPs in two ways. First, it works as a shunting conductance to shorten the membrane time constant. Second, it depolarizes the resting membrane potential and activates IKLT.

Specialization of action potential initiation site along the tonotopic axis

NL neurons are specialized along the tonotopic axis not only in the process of summating EPSPs at the soma and dendrites, but also in the process of initiating action potentials in the axon. Carr and Boudreau (1993) reported in their electron-microscopic studies that the initial segment of NL neurons is myelinated in the chicken and the barn owl. Since the myelination was not observed in low-frequency NL neurons (below 1 kHz), they considered that the myelinated initial segment would be an

Comparison to mammals

MSO neurons have several morphological and biophysical features common to NL neurons (Oertel, 1999, Trussell, 1999). These include bipolar dendrites (Scheibel and Scheibel, 1974), rapid time course of EPSCs (Smith et al., 2000), and large IKLT and Ih conductances (Smith, 1995, Svirskis et al., 2002). Furthermore, channel molecules underlying the synaptic and membrane conductances are also common between MSO and NL (Parks, 2000, Rosenberger et al., 2003, Koch et al., 2004), suggesting that the

Perspective

NL neurons show several functional as well as morphological refinements along the tonotopic axis to enhance the coincidence detection at each frequency. In particular, the high density of Kv1.2 channels enables a submillisecond order of coincidence detection and would contribute to the high resolution of sound localization at the middle-frequency range. The dominance of HCN2 channels allows the high-frequency NL neurons to modulate the acuity of coincidence detection dynamically by

Acknowledgements

I thank Drs. T.M. Ishii and R. Yamada for their contributions. I am deeply grateful to Prof. H. Ohmori for encouragement, collaboration, and discussion. This work was supported by Grants-in-Aid from the MEXT (17700368, 17021021 and 18019016).

References (85)

  • M.E. Scheibel et al.

    Neuropil organization in the superior olive of the cat

    Exp. Neurol.

    (1974)
  • G. Stuart et al.

    Action potential initiation and propagation in neurons of the mammalian CNS

    Trends Neurosci.

    (1997)
  • H. Agmon-Snir et al.

    The role of dendrites in auditory coincidence detection

    Nature

    (1998)
  • G. Ashida et al.

    Passive soma facilitates submillisecond coincidence detection in the owl's auditory system

    J. Neurophysiol.

    (2007)
  • G. Aston-Jones et al.

    Activity of NE-containing locus coeruleus neurons in behaving rats anticipates fluctuations in the sleep–waking cycle

    J. Neurosci.

    (1981)
  • M.I. Banks et al.

    Hyperpolarization-activated cation current (Ih) in neurons of the medial nucleus of the trapezoid body: voltage-clamp analysis and enhancement by norepinephrine and cAMP suggest a modulatory mechanism in the auditory brain stem

    J. Neurophysiol.

    (1993)
  • M. Barnes-Davies et al.

    Kv1 currents mediate a gradient of principal neuron excitability across the tonotopic axis in the rat lateral superior olive

    Eur. J. Neurosci.

    (2004)
  • A. Brand et al.

    Precise inhibition is essential for microsecond interaural time difference coding

    Nature

    (2002)
  • S. Bruckner et al.

    Effect of GABA on the processing of interaural time differences in nucleus laminaris neurons in the chick

    Eur. J. Neurosci.

    (1998)
  • J.F. Brugge

    An overview of central auditory processing

  • R.M. Burger et al.

    Avian superior olivary nucleus provides divergent inhibitory input to parallel auditory pathways

    J. Comp. Neurol.

    (2005)
  • C.E. Carr et al.

    Axonal delay lines for time measurement in the owl's brainstem

    Proc. Natl. Acad. Sci. U.S.A.

    (1988)
  • C.E. Carr et al.

    A circuit for detection of interaural time differences in the brain stem of the barn owl

    J. Neurosci.

    (1990)
  • J.H. Casseday et al.

    Localizatioin of pure tones

    J. Acoust. Soc. Am.

    (1973)
  • W.A. Catterall

    Localization of sodium channels in cultured neural cells

    J. Neurosci.

    (1981)
  • D.L. Cook et al.

    Synaptic depression in the localization of sound

    Nature

    (2003)
  • V.D. Dasika et al.

    Effects of inhibitory feedback in a network model of avian brain stem

    J. Neurophysiol.

    (2005)
  • D. DiFrancesco et al.

    Inhibition of the hyperpolarization-activated current (if) induced by acetylcholine in rabbit sino-atrial node myocytes

    J. Physiol.

    (1988)
  • D. DiFrancesco et al.

    Muscarinic control of the hyperpolarization-activated current (if) in rabbit sino-atrial node myocytes

    J. Physiol.

    (1988)
  • D. DiFrancesco et al.

    Properties of the hyperpolarizing-activated current (If) in cells isolated from the rabbit sino-atrial node

    J. Physiol.

    (1986)
  • I. Fujita et al.

    The role of GABAergic inhibition in processing of interaural time difference in the owl's auditory system

    J. Neurosci.

    (1991)
  • I. Fukui et al.

    Tonotopic gradients of membrane and synaptic properties for neurons of the chicken nucleus magnocellularis

    J. Neurosci.

    (2004)
  • K. Funabiki et al.

    The role of GABAergic inputs for coincidence detection in the neurones of nucleus laminaris of the chick

    J. Physiol.

    (1998)
  • N.S. Harper et al.

    Optimal neural population coding of an auditory spatial cue

    Nature

    (2004)
  • R.S. Heffner et al.

    Sound localization and use of binaural cues by the gerbil (Meriones unguiculatus)

    Behav. Neurosci.

    (1988)
  • L.A. Jeffress

    A place theory of sound localization

    J. Comp. Physiol. Psychol.

    (1948)
  • B.E. Jones et al.

    Ascending projections of the locus coeruleus in the rat. II. Autoradiographic study.

    Brain Res.

    (1977)
  • A.W. Joseph et al.

    Coincidence detection by binaural neurons in the chick brain stem

    J. Neurophysiol.

    (1993)
  • G.M. Klump

    Sound localization in birds

  • G.M. Klump et al.

    The great tit's (Parus major) auditory resolution in azimuth

    J. Comp. Physiol.

    (1986)
  • R.G. Klumpp et al.

    Some measurements of interaural time difference thresholds

    J. Acoust. Soc. Am.

    (1956)
  • E.I. Knudsen et al.

    Mechanisms of sound localization in the barn owl (Tyto alba)

    J. Comp. Physiol.

    (1979)
  • Cited by (18)

    • Avian hearing

      2022, Sturkie's Avian Physiology
    • Avian Hearing

      2015, Sturkie's Avian Physiology: Sixth Edition
    • Auditory neuroscience: How to encode microsecond differences

      2012, Current Biology
      Citation Excerpt :

      Most available recordings, and all intracellular ones, were obtained in vitro, from brain slices. In vitro data have provided invaluable insights into the subcellular integrations and the contributions of specific ion channels (for example, [13,14]). Nevertheless, the in vivo performance in the kilohertz range remains hard to explain [15].

    View all citing articles on Scopus
    View full text