title: Level invariant representation of sounds by populations of neurons in primary auditory cortex.
abstract: A fundamental feature of auditory perception is the constancy of sound recognition over a large range of intensities. Although this invariance has been described in behavioral studies, the underlying neural mechanism is essentially unknown. Here we show a putative level-invariant representation of sounds by populations of neurons in primary auditory cortex (A1) that may provide a neural basis for the behavioral observations. Previous studies reported that pure-tone frequency tuning of most A1 neurons widens with increasing sound level. In sharp contrast, we found that a large proportion of neurons in A1 of awake marmosets were narrowly and separably tuned to both frequency and sound level. Tuning characteristics and firing rates of the neural population were preserved across all tested sound levels. These response properties lead to a level-invariant representation of sounds over the population of A1 neurons. Such a representation is an important step for robust feature recognition in natural environments.
authors: Laboratory of Auditory Neurophysiology, Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. vatsun@jhu.edu
authors: Srivatsun
authors: S
authors: Sadagopan
authors: Xiaoqin
authors: X
authors: Wang
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods; D000818:Animals; D001303:Auditory Cortex / Q000166:cytology / Q000502:physiology*; D001307:Auditory Perception / Q000502:physiology*; D001309:Auditory Threshold / Q000502:physiology; D002144:Callithrix; D003198:Computer Simulation; D004307:Dose-Response Relationship, Radiation; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D021641:Recognition, Psychology / Q000502:physiology*; D013016:Sound; D018709:Statistics, Nonparametric; D014851:Wakefulness