2003 Singh and Theunissen 2003 Geffen et al. Different acoustic scenes are composed of sounds with temporal modulations under variable statistical constraints, and this variation in the TC statistics serves as a cue for discrimination and identification of natural sounds ( Attias and Schreiner 1997 Escabi et al. Sounds in the natural world exhibit variations in their temporal statistical structure. This dynamic gain control mechanism may underlie comprehension of vocalizations and other natural sounds under different contexts, subject to distortions in temporal correlation structure via stretching or compression.Īdaptation, auditory cortex, electrophysiology, gain control, natural sounds Introduction This gain adaptation allowed neurons to maintain similar firing rates across stimuli with different statistics, preserving their ability to efficiently encode temporal modulation. This adaptation was mediated by a change in the firing rate gain of neuronal responses rather than their spectrotemporal properties. Neuronal responses adapted to changing stimulus temporal correlation. In this study, we recorded responses of neurons in the primary auditory cortex of awake rats to sounds with systematically varied temporal correlation, to determine whether and how this feature alters sound encoding. However, the mechanisms by which the auditory cortex represents the spectrotemporal structure of sounds and how neuronal activity adjusts to vastly different statistics remain poorly understood. Imaging studies in humans demonstrated that the auditory cortex is sensitive to temporal correlations.
AUDITORY CORTEX FULL
Using limited resources, the auditory system must create a faithful representation of sounds across the full range of variation in temporal statistics. This variation is central to identification of unique environmental sounds and to vocal communication. Natural sounds exhibit statistical variation in their spectrotemporal structure.
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