Neural pitch coding produces a butte of equal-rate activity centered on the stimulus frequency

Evidence

Two distinct models have been proposed to explain the perception of pitch: the place model and the temporal model. These two codes likely work in concert to produce the perception of pitch. For pure tones, the temporal model is likely the strongest for lowfrequency sounds and the place model for high-frequency sounds. — Jennifer Lentz, Psychoacoustics- Perception of Normal…, 1338 (#expands, via linked claim)

For the low-frequency stimulus, the listeners were required to detect a common upward frequency shift (Δf Hz) imposed on the individual components of the SSMC with the spectral envelope remaining unchanged (Moore and Sek 2009 ). It was assumed that the listeners based their judgments on pitch changes, reflecting the temporal fine structure encoded as the pattern of neural phase locking. — Dijk, Pim van, Physiology, Psychoacoustics and…, 1043 (#expands, via linked claim)

The Matlab code in Section 13.6.1 produces the outputs plotted in Figure 13.12, demonstrating the effects of the different processing steps. Figure 13.12a shows the waveform of the vowel signal, and the outputs of the filter bank are shown in Figure 13.12b. The latter plot is often referred to as a cochleogram. In addition, the signals following the hair-cell processing are shown in Figure 13.12c, while the correlogram and the summary autocorrelation function are illustrated in Figure 13.12d. The last of the graphs shows a clear peak at 9 ms that corresponds to the fundamental frequency of 110 Hz of the vowel input. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1655 (#expands, via linked claim)

Categorization

• XREF: connects to: Pitch can be coded by neuron firing rate matching the repetition frequency; Pitch can be encoded by scalar firing rate rather than tuned vector codes; Brainstem entracking produces horizontal ‘butte’ rate-place profiles encoding pitch (+6 more)

Related

• Pitch can be encoded by scalar firing rate rather than tuned vector codes (similarity 0.96)
• The temporal code mainly handles pitch at low frequencies where pitch is strong (similarity 0.93)
• Neural signals encode auditory information through spike timing patterns (similarity 0.93)
• Dominant pitch models derive pitch from auditory nerve spike timing. (similarity 0.92)
• Pitch perception is encoded by the timing of neural firing in the cochlea (similarity 0.89)
• Pitch can be coded by neuron firing rate matching the repetition frequency (similarity 0.89)
• Pitch may be jointly coded by temporal patterns and their cochlear location (similarity 0.89)
• The ear switches from place to temporal pitch coding when harmonics stop being resolved (similarity 0.89)
• Phase invariance of pitch might arise from some neurons always entracking (similarity 0.88)
• Brainstem entracking produces horizontal ‘butte’ rate-place profiles encoding pitch (similarity 0.88)
• Hearing analyzes pitch through both place and timing mechanisms (similarity 0.87)
• Pitch is coded by firing rate constancy, not spike phase (similarity 0.86)
• Pitch perception codes operate in parallel and can compensate for each other’s loss (similarity 0.86)
• Pitch perception combines place-based and timing-based neural analysis of complex tones (similarity 0.84)
• Pitch perception is explained by two competing physiological models of the inner ear (similarity 0.84)

Broader Connections

• Pitch may be jointly coded by temporal patterns and their cochlear location #expands (0.85) — Jennifer Lentz, Psychoacoustics- Perception of Normal…, 1338
• Low-frequency pitch judgments reflect temporal fine structure via neural phase locking #expands (0.82) — Dijk, Pim van, Physiology, Psychoacoustics and…, 1043
• Pitch perception is encoded by the timing of neural firing in the cochlea #expands (0.80) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1655
• Dominant pitch models derive pitch from auditory nerve spike timing. #corroborates (0.78)
• Pitch perception involves both spectral and temporal representations of sound #expands (0.75) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4638
• Neural signals encode auditory information through spike timing patterns #expands (0.72)