Computation of Interaural Time Difference in the Owl's Coincidence Detector Neurons

Funabiki, Kazuo; Ashida, Go; Konishi, Masakazu

doi:10.1523/jneurosci.2127-11.2011

Cited by 48 publications

(163 citation statements)

References 50 publications

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“…Note the standard deviations of about 200 µs in these early recordings of latency. Our current recordings support the hypothesis that within NL, latencies vary by multiples of 2π, and may be precisely regulated at a fine time scale, in order to create a cycle by cycle representation of the stimulus at the point(s) of coincidence detection (Funabiki et al 2011;Ashida et al 2013). Modulation by multiples of 2π is also consistent with cross-correlation and spike timing dependent plasticity models (Gerstner et al 1996;Kempter et al 1998;Pena and Konishi 2000;Fischer et al 2008).…”

Section: Discussionsupporting

confidence: 84%

Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

Dijk¹,

Başkent²,

Gaudrain

et al. 2016

Advances in Experimental Medicine and Biology

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Section: Discussionsupporting

confidence: 84%

Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

Dijk¹,

Başkent²,

Gaudrain

et al. 2016

Advances in Experimental Medicine and Biology

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“…There is strong evidence in birds and reptiles for the canonical Jeffress model (1948), in which a counter-current organization of ipsilateral and contralateral projections to the nucleus laminaris (NL) converts a temporal code into a place code through delay-line coincidence detection (Carr and Konishi 1990;Carr et al 2009;Funabiki et al 2011). By contrast, binaural projections to the mammalian medial superior olive (MSO) do not appear to include delay lines (McAlpine and Grothe 2003;Smith et al 1993).…”

Section: Discussionmentioning

confidence: 99%

“…In birds and reptiles, ITDs are analyzed through delay-line coincidence detection of binaural excitatory inputs (Carr and Konishi 1990;Carr et al 2009;Funabiki et al 2011). In mammals, ITD detection also relies on coincidence detection of binaural excitatory inputs, but the mechanistic basis for ITD tuning remains controversial and cannot be explained by axonal delay lines (Brand et al 2002;Grothe et al 2010;McAlpine and Grothe 2003;Roberts et al 2013;van der Heijden et al 2013).…”

mentioning

confidence: 99%

Detection of submillisecond spike timing differences based on delay-line anticoincidence detection

Lyons-Warren

Kohashi

Mennerick

et al. 2013

Journal of Neurophysiology

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Lyons-Warren AM, Kohashi T, Mennerick S, Carlson BA. Detection of submillisecond spike timing differences based on delayline anticoincidence detection. J Neurophysiol 110: 2295-2311. First published August 21, 2013 doi:10.1152/jn.00444.2013.-Detection of submillisecond interaural timing differences is the basis for sound localization in reptiles, birds, and mammals. Although comparative studies reveal that different neural circuits underlie this ability, they also highlight common solutions to an inherent challenge: processing information on timescales shorter than an action potential. Discrimination of small timing differences is also important for species recognition during communication among mormyrid electric fishes. These fishes generate a species-specific electric organ discharge (EOD) that is encoded into submillisecond-to-millisecond timing differences between receptors. Small, adendritic neurons (small cells) in the midbrain are thought to analyze EOD waveform by comparing these differences in spike timing, but direct recordings from small cells have been technically challenging. In the present study we use a fluorescent labeling technique to obtain visually guided extracellular recordings from individual small cell axons. We demonstrate that small cells receive 1-2 excitatory inputs from 1 or more receptive fields with latencies that vary by over 10 ms. This wide range of excitatory latencies is likely due to axonal delay lines, as suggested by a previous anatomic study. We also show that inhibition of small cells from a calyx synapse shapes stimulus responses in two ways: through tonic inhibition that reduces spontaneous activity and through precisely timed, stimulus-driven, feed-forward inhibition. Our results reveal a novel delay-line anticoincidence detection mechanism for processing submillisecond timing differences, in which excitatory delay lines and precisely timed inhibition convert a temporal code into a population code. temporal coding; electric fish; calyx; sound localization; interaural time difference TEMPORAL CODING, in which information is encoded into the precise timing of action potentials, is common in sensory systems ( VanRullen et al. 2005). In some cases, behavioral sensitivity can reach the submillisecond or even submicrosecond range, several orders of magnitude shorter than a typical action potential

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“…Human FFR waveform morphology is affected by stimuli with ITDs (Ballachanda and Moushegian 2000), and FFR amplitude unmasking to BMLD stimuli has been reported (Wilson and Krishnan 2005). In addition, physiological and modeling studies in the nucleus magnocellularis and nucleus laminaris of the barn owl have examined an intracellular membrane potential that oscillates at the stimulus frequency (e.g., 500 Hz) and has been termed the Bsound analog potential^ (Ashida et al 2013a;Ashida et al 2013b;Ashida et al 2012;Funabiki et al 2011). These studies have shown that rate-ITD functions and sound analog potential amplitude-ITD functions demonstrate similar trends (Ashida et al 2013a;Ashida et al 2012;Funabiki et al 2011); sound analog potential amplitude is directly proportional to average firing rate of nucleus laminaris neurons (Funabiki et al 2011).…”

Section: Neurophonics and Binaural Processingmentioning

confidence: 99%

Neural Correlates of the Binaural Masking Level Difference in Human Frequency-Following Responses

Clinard

Hodgson

Scherer

2016

JARO

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The binaural masking level difference (BMLD) is an auditory phenomenon where binaural tone-in-noise detection is improved when the phase of either signal or noise is inverted in one of the ears (SN or SN, respectively), relative to detection when signal and noise are in identical phase at each ear (SN). Processing related to BMLDs and interaural time differences has been confirmed in the auditory brainstem of non-human mammals; in the human auditory brainstem, phase-locked neural responses elicited by BMLD stimuli have not been systematically examined across signal-to-noise ratio. Behavioral and physiological testing was performed in three binaural stimulus conditions: SN, SN, and SN. BMLDs at 500 Hz were obtained from 14 young, normal-hearing adults (ages 21-26). Physiological BMLDs used the frequency-following response (FFR), a scalp-recorded auditory evoked potential dependent on sustained phase-locked neural activity; FFR tone-in-noise detection thresholds were used to calculate physiological BMLDs. FFR BMLDs were significantly smaller (poorer) than behavioral BMLDs, and FFR BMLDs did not reflect a physiological release from masking, on average. Raw FFR amplitude showed substantial reductions in the SN condition relative to SN and SN conditions, consistent with negative effects of phase summation from left and right ear FFRs. FFR amplitude differences between stimulus conditions (e.g., SN amplitude-SN amplitude) were significantly predictive of behavioral SN BMLDs; individuals with larger amplitude differences had larger (better) behavioral B MLDs and individuals with smaller amplitude differences had smaller (poorer) behavioral B MLDs. These data indicate a role for sustained phase-locked neural activity in BMLDs of humans and are the first to show predictive relationships between behavioral BMLDs and human brainstem responses.

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Computation of Interaural Time Difference in the Owl's Coincidence Detector Neurons

Cited by 48 publications

References 50 publications

Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing

Detection of submillisecond spike timing differences based on delay-line anticoincidence detection

Neural Correlates of the Binaural Masking Level Difference in Human Frequency-Following Responses

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