Temporal Position of Discharges in Single Auditory Nerve Fibers within the Cycle of a Sine-Wave Stimulus: Frequency and Intensity Effects

Anderson, David J.; Rose, Jerzy E.; Hind, Joseph E.; Brugge, John F.

doi:10.1121/1.1912474

Cited by 269 publications

(156 citation statements)

References 7 publications

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“…The nonconstancy of cumulated phase lag with frequency is another demonstration of the failure of scaling invariance mentioned in the discussion of Figure 7 and is consistent with the theoretical analysis of Greenwood (1977) of AN data reported by Anderson et al (1971).…”

Section: Panoramic Phase Analysis In the Apexsupporting

confidence: 76%

Panoramic Measurements of the Apex of the Cochlea

Heijden¹,

Joris²

2006

J. Neurosci.

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Our understanding of cochlear mechanics is impeded by the lack of truly panoramic data. Sensitive mechanical measurements cover only a narrow cochlear region, mostly in the base. The global spatiotemporal pattern of vibrations along the cochlea cannot be inferred from such local measurements but is often extrapolated beyond the measurement spot under the assumption of scaling invariance. Auditory nerve responses give an alternative window on the entire cochlea, but traditional techniques do not allow recovery of the effective vibration pattern. We developed a new analysis technique to measure cochlear amplitude and phase transfer of fibers with characteristic frequencies Ͻ5 kHz. Data from six cats yielded panoramic phase profiles along the apex of the cochlea for an ϳ5 octave range of stimulus frequencies. All profiles accumulated systematic phase lags from base to apex. Phase accumulation was not gradual but showed a two-segment character: a steep segment (slow propagation) around the characteristic position of the stimulus, and a shallow segment (fast propagation) basal to it. The transition between the segments occurred in a narrow region and was smooth. Wavelength near characteristic position decreased from ϳ3.5 to ϳ1 mm for frequencies from 200 to 4000 Hz, corresponding to phase velocities of ϳ0.5 to ϳ5 m/s. The accumulated phase lag between the eardrum and characteristic position varied from ϳ1 cycle at 200 Hz to ϳ2.5 cycle at 4 kHz, invalidating scaling invariance. The generic character of our analysis technique and its success in solving the difficult problem of reconstructing the effective sensory input from neural recordings suggest its wider application as a powerful alternative to customary system analysis techniques.

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Section: Panoramic Phase Analysis In the Apexsupporting

confidence: 76%

Panoramic Measurements of the Apex of the Cochlea

Heijden¹,

Joris²

2006

J. Neurosci.

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“…While some conclusions were consistent with findings in mammals, others were clearly different, in particular, the shape of the STAs and the rate at which the instantaneous frequency of the impulse response changed. Also, we showed that phase-frequency curves at different sound levels did not always intersect at a common point as previously shown in mammals (Anderson et al 1971;Recio-Spinoso et al 2005;Versteegh et al 2011). We discuss the possible meaning of the differences and similarities encountered.…”

Section: Discussionsupporting

confidence: 74%

“…The fact that the hypothesis of exact CF pivoting, which posits that when level changes, the phase curve pivots around CF, does not always hold was already reported for one ANF in Anderson et al 1971. Since then, it has been reported many times in mammals (e.g.…”

Section: Phase and Delaymentioning

confidence: 94%

“…Indeed, as can be seen in Figure 10B, a negative IF slope yielded a downward concavity whereas a positive IF slope yielded an upward concavity (see caption of Figure 10 for details of the filters design). It was experimentally observed, first in cat AN (Anderson et al 1971) and many times afterwards in mammalian AN and basilar membrane responses (e.g. Recio-Spinoso et al 2005;Palmer and Shackleton 2009;Versteegh et al 2011), that an increase in input level induces a phase lag below CF and a phase lead above CF.…”

Section: Phase and Delay Analysismentioning

confidence: 99%

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Reverse Correlation Analysis of Auditory-Nerve Fiber Responses to Broadband Noise in a Bird, the Barn Owl

Fontaine

Köppl

Peña

2014

JARO

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While the barn owl has been extensively used as a model for sound localization and temporal coding, less is known about the mechanisms at its sensory organ, the basilar papilla (homologous to the mammalian cochlea). In this paper, we characterize, for the first time in the avian system, the auditory nerve fiber responses to broadband noise using reverse correlation. We use the derived impulse responses to study the processing of sounds in the cochlea of the barn owl. We characterize the frequency tuning, phase, instantaneous frequency, and relationship to input level of impulse responses. We show that, even features as complex as the phase dependence on input level, can still be consistent with simple linear filtering. Where possible, we compare our results with mammalian data. We identify salient differences between the barn owl and mammals, e.g., a much smaller frequency glide slope and a bimodal impulse response for the barn owl, and discuss what they might indicate about cochlear mechanics. While important for research on the avian auditory system, the results from this paper also allow us to examine hypotheses put forward for the mammalian cochlea.

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“…PSTH peaks were separated in time by intervals equal to the inverse of the neuron's best frequency (BF), a 2π phase interval. Individual spike timing varied, consistent with phase locking (Anderson et al 1970;Sachs et al 1974;Joris et al 1994;Köppl 1997). For each intracellular recording, we quantified the temporal distance between the PSTH peaks.…”

Section: Multiples Of 2πmentioning

confidence: 99%

The Role of Conduction Delay in Creating Sensitivity to Interaural Time Differences

Carr

Ashida

Wagner

et al. 2016

Advances in Experimental Medicine and Biology

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Axons from the nucleus magnocellularis (NM) and their targets in nucleus laminaris (NL) form the circuit responsible for encoding interaural time difference (ITD). In barn owls, NL receives bilateral inputs from NM, such that axons from the ipsilateral NM enter NL dorsally, while contralateral axons enter from the ventral side. These afferents act as delay lines to create maps of ITD in NL. Since delay-line inputs are characterized by a precise latency to auditory stimulation, but the postsynaptic coincidence detectors respond to ongoing phase difference, we asked whether the latencies of a local group of axons were identical, or varied by multiples of the inverse of the frequency they respond to, i.e., to multiples of 2π phase. Intracellular recordings from NM axons were used to measure delay-line latencies in NL. Systematic shifts in conduction delay within NL accounted for the maps of ITD, but recorded latencies of individual inputs at nearby locations could vary by 2π or 4π. Therefore microsecond precision is achieved through sensitivity to phase delays, rather than absolute latencies. We propose that the auditory system "coarsely" matches ipsilateral and contralateral latencies using physical delay lines, so that inputs arrive at NL at about the same time, and then "finely" matches latency modulo 2π to achieve microsecond ITD precision.

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Temporal Position of Discharges in Single Auditory Nerve Fibers within the Cycle of a Sine-Wave Stimulus: Frequency and Intensity Effects

Cited by 269 publications

References 7 publications

Panoramic Measurements of the Apex of the Cochlea

Panoramic Measurements of the Apex of the Cochlea

Reverse Correlation Analysis of Auditory-Nerve Fiber Responses to Broadband Noise in a Bird, the Barn Owl

The Role of Conduction Delay in Creating Sensitivity to Interaural Time Differences

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