The influence of pause, attack, and decay duration of the ongoing envelope on sound lateralization

Dietz, Mathias; Klein-Hennig, Martin; Hohmann, Volker

doi:10.1121/1.4905891

Cited by 15 publications

(7 citation statements)

References 17 publications

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“…The four example neurons were therefore chosen to represent the main types of response patterns observed in the majority of neurons. In particular, the example neurons exhibit strongest ITD tuning for envelopes with a long pause or a steep attack (e.g., neurons 1, 2, and 4), a feature consistent with human psychoacoustic data (Klein-Hennig et al 2011;Dietz et al 2015), in vitro MSO data (Gai et al 2014 and with the responses of IC neurons to monaural stimulation (Neuert et al 2001). Perhaps most importantly, the stimulus envelope shape most commonly employed in previous studies of envelope coding-sinusoidal amplitude modulation-was largely ineffectual in generating strong ITD dependence in neural firing rates.…”

Section: Discussionsupporting

confidence: 67%

Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

Dietz

Wang

Greenberg³

et al. 2016

JARO

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Sound-source localization in the horizontal plane relies on detecting small differences in the timing and level of the sound at the two ears, including differences in the timing of the modulated envelopes of high-frequency sounds (envelope interaural time differences (ITDs)). We investigated responses of single neurons in the inferior colliculus (IC) to a wide range of envelope ITDs and stimulus envelope shapes. By a novel means of visualizing neural activity relative to different portions of the periodic stimulus envelope at each ear, we demonstrate the role of neuron-specific excitatory and inhibitory inputs in creating ITD sensitivity (or the lack of it) depending on the specific shape of the stimulus envelope. The underlying binaural brain circuitry and synaptic parameters were modeled individually for each neuron to account for neuron-specific activity patterns. The model explains the effects of envelope shapes on sensitivity to envelope ITDs observed in both normal-hearing listeners and in neural data, and has consequences for understanding how ITD information in stimulus envelopes might be maximized in users of bilateral cochlear implants-for whom ITDs conveyed in the stimulus envelope are the only ITD cues available.

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Section: Discussionsupporting

confidence: 67%

Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

Dietz

Wang

Greenberg³

et al. 2016

JARO

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“…A key aspect of these findings was that spatially selective neurons were found to respond more frequently when the experimenter-imposed envelopes of the leading and lagging stimuli ( Ē ) were both rising ( dĒ/dt > 0) than when they were declining ( dĒ/dt < 0). Similar findings have since been observed for binaural beat stimuli [ 37 – 39 ].…”

Section: Neural Modelsupporting

confidence: 87%

A Neural Model of Auditory Space Compatible with Human Perception under Simulated Echoic Conditions

2015

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In a typical auditory scene, sounds from different sources and reflective surfaces summate in the ears, causing spatial cues to fluctuate. Prevailing hypotheses of how spatial locations may be encoded and represented across auditory neurons generally disregard these fluctuations and must therefore invoke additional mechanisms for detecting and representing them. Here, we consider a different hypothesis in which spatial perception corresponds to an intermediate or sub-maximal firing probability across spatially selective neurons within each hemisphere. The precedence or Haas effect presents an ideal opportunity for examining this hypothesis, since the temporal superposition of an acoustical reflection with sounds arriving directly from a source can cause otherwise stable cues to fluctuate. Our findings suggest that subjects’ experiences may simply reflect the spatial cues that momentarily arise under various acoustical conditions and how these cues are represented. We further suggest that auditory objects may acquire “edges” under conditions when interaural time differences are broadly distributed.

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“…This is in contradiction to what is seen behaviorally (Klein-Hennig et al, 2011), in actual neurons (Greenberg et al, 2017), or in Hodgkin-Huxley type model neurons . This topic appears to be well suited and timely for comparative studies, as several datasets were published in recent years (Buell et al, 2008;Dietz et al, 2016Dietz et al, , 2015Dietz et al, , 2014Dietz et al, , 2013bJoris et al, 1994;Klein-Hennig et al, 2011;Stecker and Bibee, 2014), many of which included models. Furthermore, neither the biophysical binaural models (e.g., Cai et al, 1998;Zhou et al, 2005) nor the more recent spiking phenomenological models (e.g., Ashida et al, 2016;Takanen et al, 2014) have been compared with continuous waveform-based models on the datasets referenced above.…”

Section: Coincidence Detectionmentioning

confidence: 99%

A framework for testing and comparing binaural models

et al. 2018

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Auditory research has a rich history of combining experimental evidence with computational simulations of auditory processing in order to deepen our theoretical understanding of how sound is processed in the ears and in the brain. Despite significant progress in the amount of detail and breadth covered by auditory models, for many components of the auditory pathway there are still different model approaches that are often not equivalent but rather in conflict with each other. Similarly, some experimental studies yield conflicting results which has led to controversies. This can be best resolved by a systematic comparison of multiple experimental data sets and model approaches. Binaural processing is a prominent example of how the development of quantitative theories can advance our understanding of the phenomena, but there remain several unresolved questions for which competing model approaches exist. This article discusses a number of current unresolved or disputed issues in binaural modelling, as well as some of the significant challenges in comparing binaural models with each other and with the experimental data. We introduce an auditory model framework, which we believe can become a useful infrastructure for resolving some of the current controversies. It operates models over the same paradigms that are used experimentally. The core of the proposed framework is an interface that connects three components irrespective of their underlying programming language: The experiment software, an auditory pathway model, and task-dependent decision stages called artificial observers that provide the same output format as the test subject.

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The influence of pause, attack, and decay duration of the ongoing envelope on sound lateralization

Cited by 15 publications

References 17 publications

Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

A Neural Model of Auditory Space Compatible with Human Perception under Simulated Echoic Conditions

A framework for testing and comparing binaural models

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