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Chapter 3 of Moore (1997)

Frequency Selectivity (II)

Scope

  • Contrast between Masking & Excitation Patterns
  • Mechanisms of Masking
  • Spectro-Temporal Pattern Analysis in Hearing (CMR)
  • Non-Simultaneous Masking
  • Lateral Suppression & Sharpening of the Tuning Function as Revealed by NSM
  • Frequency Selectivity in Impaired Hearing

Contrast between Masking & Excitation Patterns

  • When the f of signal is held constant while varying the masker, we get an estimate of the shape of the auditory filter (as in those experiments we talked about last time).
  • When the f of masker is held constant while varying the signal, we get an estimate of the excitation pattern over a group of responding filters (Figs. 3.12; 3.13).

What's the Physiological Basis of the Psychophysically Derived Auditory Filters?

  • The mechanical frequency tuning function of the BM must has something to do with it.
  • It has been reported that in many species, the CB of the auditory filter corresponds to a constant distance along the BM (Fig. 3.14).
  • Whether there's an additional sharpening process and at what level does such a process occur are less clear.

Evidence for an Additional Sharpening Process

  • Lateral suppression, the concept of.
  • It takes about 30 ms for the LS to develop.=> CB determined by a brief signal should be broader than that by a more sustained signal.
  • Cons: loudness summation for short stimuli; notched-noise masking, both render negative results.
  • Pros: tonal maskers and signals; overshoot effect

Mechanism(s) of Masking

  • Swapping: Weber's law.
  • Suppression
  • Linear v.s. nonlinear processes
  • So far, a pure linear model seems adequate to account for the masking data, but….

Decision Making: What's the Neural Code for Signal Detection?

  • The most common assumption: Detection is mediated by the increment in the response of a given filter.
  • Another alternitive: The temporal pattern of the neural response provides information for detection.
  • Phase locking in two-tone situations.
  • Rethinking about Plomp's (1964) hearing-out-partials data (Fig. 3.15).

Comodulation Masking Release (CMR): The Case of Cross-Filter Comparison

  • Standard power spectrum model assumes detection is served by the most active filter.
  • Hall et al. (1984) demonstrated that the comparison of the responses across different filters could enhance the detection of a sinusoidal signal embedded in a fluctuated noise masker (Fig. 3.16).
  • Two band paradigm: An on-frequency band and flanking band, either comodulated or out of synchrony.
  • Complications by within-channel cues. Absent in cross-ear presentation; brief signal in band-widening exps; or on-freq. & flanking bands are wide apart.
  • CF-independent; Proximity effect; Noise-BW dependent.

Models to Account for CMR

  • Cross-filter comparison.
  • Dip-listening.

 

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