The neural code for auditory space depends on sound frequency and head size in an optimal manner.
A major cue to the location of a sound source is the interaural time difference (ITD)-the difference in sound arrival time at the two ears. The neural representation of this auditory cue is unresolved. The classic model of ITD coding, dominant for a half-century, posits that the distribution of best ITDs (the ITD evoking a neuron's maximal response) is unimodal and largely within the range of ITDs permitted by head-size. This is often interpreted as a place code for source location. An alternative model, based on neurophysiology in small mammals, posits a bimodal distribution of best ITDs with exquisite sensitivity to ITDs generated by means of relative firing rates between the distributions. Recently, an optimal-coding model was proposed, unifying the disparate features of these two models under the framework of efficient coding by neural populations. The optimal-coding model predicts that distributions of best ITDs depend on head size and sound frequency: for high frequencies and large heads it resembles the classic model, for low frequencies and small head sizes it resembles the bimodal model. The optimal-coding model makes key, yet unobserved, predictions: for many species, including humans, both forms of neural representation are employed, depending on sound frequency. Furthermore, novel representations are predicted for intermediate frequencies. Here, we examine these predictions in neurophysiological data from five mammalian species: macaque, guinea pig, cat, gerbil and kangaroo rat. We present the first evidence supporting these untested predictions, and demonstrate that different representations appear to be employed at different sound frequencies in the same species.
UCL Ear Institute, University College London, London, United Kingdom; Redwood Center for Theoretical Neuroscience, University of California, Berkeley, CA, United States of America.
Nicol S
NS
Harper
Laboratory of Neuropsychology, National Institute of Mental Health, National Institute of Health, Bethesda, MD, United States of America; Center for Neural Science, New York University, New York, NY, United States of America.
Brian H
BH
Scott
Center for Neural Science, New York University, New York, NY, United States of America.
Malcolm N
MN
Semple
UCL Ear Institute, University College London, London, United Kingdom.
David
D
McAlpine
D000818:Animals; D002415:Cats; D003463:Cues; D005072:Evoked Potentials, Auditory; D008251:Macaca; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D012377:Rodentia; D013016:Sound; D013017:Sound Localization