Responses of auditory-nerve fibers to multiple-tone complexes

Deng, Li; Geisler, C. Daniel; Greenberg, Steven

doi:10.1121/1.395643

Cited by 36 publications

(29 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The figure shows that the responses of the two tones decrease with the increasing amplitude of the third (suppressor) tone, especially when the level of the suppressor tone is larger than 60 dB. The figure is qualitatively comparable to Figure 3 in [7] and Figure 4.6 in [38]. Suppressors at 55dB none 8kHz 6+8kHz 4+6+8kHz 2+4+6+8kHz…”

Section: Multitone Interactionssupporting

confidence: 74%

“…The number of tones makes little difference in the time domain computation in terms of computational costs. From the results of the two-tone interactions, we can expect the suppressions and distortion products from more than three-tone interactions [7,29,38]. Figure 13 BM displacement at CF=0.5 kHz (nm) illustrates the BM displacement (nm) along the BM length at a fixed time 30 ms and the envelope of the BM response when there are five frequencies in the input stimulus.…”

Section: Multitone Interactionsmentioning

confidence: 99%

See 1 more Smart Citation

A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions

Kim

Xin²

2005

Multiscale Model. Simul.

View full text Add to dashboard Cite

Abstract.A two-dimensional cochlear model is presented, which couples the classical second order partial differential equations of the basilar membrane (BM) with a discrete feed-forward (FF) outer hair cell (OHC) model for enhanced sensitivity. The enhancement (gain) factor in the model depends on BM displacement in a nonlinear nonlocal manner in order to capture multifrequency sound interactions and compression effects in a time-dependent simulation. The FF mechanism is based on the longitudinal tilt of the OHCs in feeding the mechanical energy onto the BM. A numerical method of second order accuracy in space and time is formulated by reducing the unknown variables to the BM with the representation of eigenfunction expansions. Though the nonlinear coupling with OHCs created an implicit algebraic problem at each time step, the structure of the FF mass matrix is found to permit a decomposition into a sum of a time-independent symmetric positive definite part and the remaining time-dependent part. A fast iterative method is devised and shown to converge with only the inversion of the time-independent part of the mass matrix. The time-dependent computation is studied by comparing with steady state solutions (frequency domain solutions) in the linear regime and by a convergence study in the nonlinear regime. Results are shown on OHC amplification of BM responses, compressive output for large intensity input, and nonlinear multitone interactions such as tonal suppression, noise suppression, and distortion products. Qualitative agreement with experimental data is observed.

show abstract

Section: Multitone Interactionssupporting

confidence: 74%

Section: Multitone Interactionsmentioning

confidence: 99%

A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions

Kim

Xin²

2005

Multiscale Model. Simul.

View full text Add to dashboard Cite

show abstract

“…The asymmetry of high and low side suppression is captured by the model. We then show numerical simulation of three tone interaction, presenting results on how the amplitudes of the two of the three tones change as we vary the amplitude and frequency of the third tone, qualitatively consistent with experimental data of Deng and Geisler [4] on responses of auditory neural fibers to input of three tones.…”

Section: Numerical Results and Multitone Interactionsupporting

confidence: 54%

“…In case of two tone interactions, our model gives both low and high side suppression, in qualitative agreement with similar studies of Geisler [8]. For understanding three tone interactions, we fix the frequencies and amplitudes of two tones, and vary the third tone both in frequency and amplitude in a manner similar to auditory neural experiment of Deng and Geisler [4]. Again, our model showed suppressing effect on the two tones by the third tone, in qualitative agreement with experimental data.…”

Section: Introductionsupporting

confidence: 71%

Computation and analysis of a nonlinear nonlocal cochlear model with applications to multitone interactions in hearing

Xin

Deng

2002

The Journal of the Acoustical Society of America

Self Cite

View full text Add to dashboard Cite

A nonlinear nonlocal cochlear model of the transmission line type is studied in order to capture the multitone interactions and resulting tonal suppression effects. The model can serve as a module for voice signal processing, it is a one dimensional (in space) damped dispersive nonlinear PDE based on mechanics and phenomenology of hearing. It describes the motion of basilar membrane (BM) in the cochlea driven by input pressure waves. Both elastic damping and selective longitudinal fluid damping are present. The former is nonlinear and nonlocal in BM displacement, and plays a key role in capturing tonal interactions. The latter is active only near the exit boundary (helicotrema), and is built in to damp out the remaining long waves. The initial boundary value problem is numerically solved with a semi-implicit second order finite difference method. Solutions reach a multifrequency quasi-steady state. Numerical results are shown on two tone suppression from both high-frequency and low-frequency sides, consistent with known behavior of two tone suppression. Suppression effects among three tones are demonstrated by showing how the response magnitudes of the fixed two tones are reduced as we vary the third tone in frequency and amplitude. We observe qualitative agreement of our model solutions with existing cat auditory neural data. The model is thus simple and efficient as a processing tool for voice signals.Communications in Mathematical Sciences, to appear.

show abstract

“…Specifically, it was found that the ability of his cross-channel correlation algorithm to identify spectral dominances was best when the basilar membrane model incorporated a nonlinear level-dependent damping component. This simulated the tendency of auditory nerve tuning curves to broaden at high intensities (see section 4.1.5), and was necessary to reproduce the synchrony capture phenomenon observed in physiological studies (Sinex and Geisler [251], Shamma [244], Deng and Geisler [73], Deng et al [74]). Synchrony capture occurs when a high intensity component produces more response synchrony to itself than is predicted by linear models of auditory nerve tuning curves.…”

Section: Summary and Discussionmentioning

confidence: 99%

Computational auditory scene analysis: A representational approach

Brown¹

1993

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

This thesis addresses the problem of how a listener groups together acoustic components which have arisen from the same environmental event, a phenomenon known as auditory scene analysis. A computational model of auditory scene analysis is presented, which is able to separate speech from a variety of interfering noises.The model consists of four processing stages. Firstly, the auditory periphery is simulated by a bank of bandpass filters and a model of inner hair cell function. In the second stage, physiologically-inspired models of higher auditory organizationaiditory maps -are used to provide a rich representational basis for scene analysis. Periodicities in the acoustic input are coded by an ant ocorrelation map and a crosscorrelation map. Information about spectral continuity is extracted by a frequency transition map. The times at which acoustic components start and stop are identified by an onset map and an offset map.In the third 8tage of processing, information from the periodicity and frequency transition maps is used to characterize the auditory scene as a collection of symbolic auditory objects. Finally, a search strategy identifies objects that have similar properties and groups them together. Specifically, objects are likely to form a group if they have a similar periodicity, onset time or offset time.The model has been evaluated in two ways, using the task of segregating voiced speech from a number of interfering sounds such as random noise, "cocktail party" noise and other speech. Firstly, a waveform can be resynthesized for each group in the auditory scene, so that segregation performance can be assessed by informal listening tests. The resynthesized speech is highly intelligible and fairly natural. Secondly, the linear nature of the resynthesis process allows the signal-to-noise ratio (SNR) to be compared before and after segregation. An improvement in SNR is obtained after segregation for each type of interfering noise. Additionally, the performance of the model is significantly better than that of a conventional frame-based autocorrelation segregation strategy. ACKNOWLEDGMENTSThis work has benefitted from discussions with Ray Meddis

show abstract

Responses of auditory-nerve fibers to multiple-tone complexes

Cited by 36 publications

References 31 publications

A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions

A Two-Dimensional Nonlinear Nonlocal Feed-Forward Cochlear Model and Time Domain Computation of Multitone Interactions

Computation and analysis of a nonlinear nonlocal cochlear model with applications to multitone interactions in hearing

Computational auditory scene analysis: A representational approach

Contact Info

Product

Resources

About