(51.1) where z is an n-dimensional state vector (with one state variable per region), t is continuous time and u j is the jth experimental input. The neural model consists…

Fig. 55.1 Proportion of total FFR contained in FFRENV and in FFRCAR at each harmonic of 100 Hz from (a) experimental measures and (b) model predictions Modeling results also suggest…

Fig. 47.1 Average hissiness ratings as a function of half-life for ramped (black lines) and damped (grey lines) noises averaged over subjects; the parameter is modulation period. The error bars…

Fig. 43.1 Comparison of AM detection thresholds for sinusoidally amplitude-modulated (SAM) wideband noise across several species. More sensitive thresholds appear higher on the plot. Thresholds in three bird species (circles)…

Fig. 38.1 Schematic of the short-term sEPSM. The noisy speech (black) and the noise alone (grey) are processed separately through the model. The decision metric is based on the time-varying…

Psychophysical: human CI subjects Neural: IC neurons in anesthetized cats Percept lasts throughout stimulus >2,000 pps 30–300 ppsa Sustained responses Rate pitch discrimination 200–1,000 ppsb 40–200 ppsa Temporal coding ITD…

Fig. 30.1 Threshold ITD as a function of envelope-rate or noise bandwidth for stimuli centered at 4 kHz (upper panel) or 8 kHz (lower panel) (Adapted with permission from Bernstein…

Fig. 54.1 Rhythm discrimination by one listener. The dashed line at d′  =  1 indicates the criterion for threshold rhythm discrimination (From Middlebrooks and Onsan 2012) Acuity was somewhat coarser…

Fig. 31.1 (a) Example rate vs ILD function. Distributions of half-max ILD (b), ILD dynamic range (c), and rate-ILD slope (d) for low (<4 kHz)- and high (>4 kHz)-frequency ICC…

Fig. 52.1 Examples of the waveforms (top row) and schematic plots of the spectrograms (bottom row) of the stimuli for the conditions RF (left column), CM (middle column) and CD…