The TMTF yields three distinct measures of temporal resolution

Evidence

Within the healthy cochlea, broadband sounds are decomposed into narrowband signals, each of which can be considered as a relatively slowly varying envelope (ENV) imposed on a rapidly oscillating carrier (the temporal fine structure, TFS). Information about ENV and TFS is conveyed in the timing and short-term rate of nerve spikes in the auditory nerve (Joris and Yin 1992 ). Following Moore ( 2014 ), a distinction is made between the physical ENV and TFS of the input signal (ENVp and TFSp ), the ENV and TFS at a given place on the basilar membrane (ENVBM and TFSBM ), and the neural representation of ENVBM and TFSBM (ENVn and TFSn ). — Dijk, Pim van, Physiology, Psychoacoustics and…, 794 (#expands, via linked claim)

Categorization

• XREF: connects to: Temporal processing divides into resolution, masking, and integration categories; The temporal modulation transfer function broadly characterizes temporal acuity.; Envelope and temporal fine structure exist at three distinct processing levels — Dijk, Pim van, Physiology, Psychoacoustics and…, 794

Related

• Temporal processing divides into resolution, masking, and integration categories (similarity 0.88)
• Temporal modulation transfer functions give broader resolution data but slowly (similarity 0.87)
• The temporal modulation transfer function broadly characterizes temporal acuity. (similarity 0.87)
• Temporal modulation transfer functions trade completeness against measuring time (similarity 0.87)
• Envelope and temporal fine structure exist at three distinct processing levels (similarity 0.86)
• Hearing’s temporal resolution varies from 1-2 ms depending on frequency (similarity 0.83)
• Normal hearing yields a temporal resolution factor near unity (similarity 0.83)
• Envelope and fine structure cues can be swapped across tokens to isolate their roles (similarity 0.83)
• Temporal processing of sound has three distinct measurable categories. (similarity 0.82)
• Temporal processing is essential for hearing speech and music (similarity 0.82)
• DFT-based windowing explains basic auditory frequency resolution properties (similarity 0.81)
• Forward temporal structure is essential to auditory scene analysis. (similarity 0.81)
• Stimulus envelope, not temporal fine structure, counts as temporal information (similarity 0.80)
• Temporal resolution deficits, not frequency resolution, drive fine-structure processing failure (similarity 0.80)
• Human hearing is highly nonlinear and cannot be LTI-modelled beyond peripheral parts (similarity 0.80)

Broader Connections

• The temporal modulation transfer function broadly characterizes temporal acuity. #expands (0.80)
• Temporal processing divides into resolution, masking, and integration categories #expands (0.75)
• Envelope and temporal fine structure exist at three distinct processing levels #expands (0.72) — Dijk, Pim van, Physiology, Psychoacoustics and…, 794