This zip file contains a Matlab implementation of the opponent-channel model described in: Briley PM & Summerfield AQ. Age-related deterioration of the representation of space in human auditory cortex. Neurobiology of Aging. This function can be used to reproduce the key aspects of figures 4 and 5 of our paper. It includes the fitted parameter values for our three participant groups (young, younger-old and older-old). Specific details of model parameters and outputs are given at the start of the function, and the function is annotated throughout. The model is derived from that of Briley et al. (2013), J. Assoc. Res. Otolaryngol. 14, 83-101, which is also available on ModelDB (146050). At the core of the model is the description of the spatial tuning of two channels, one maximally responsive to the left, and one to the right, auditory hemispace. Our model can be used to describe the tuning of these two channels, and consequently to predict psychophysical spatial acuity ("minimum audible angles", MAAs) for different azimuthal positions, as well as electroencephalographic (EEG) responses to abrupt shifts in sound-source location. The function has been re-written, but one key change from the previous version is that the tuning of each channel is now described by the pdf of the generalized Gaussian distribution, also known as the exponential power distribution, which has both a width parameter (related to the standard deviation of the conventional Gaussian distribution) and a shape parameter, which allows the function to adopt the conventional Gaussian shape, or to have a sharper or flatter peak. out = oppchanmodel(in,figs); in: set to '' (default parameters), 'young' or 'youngold' or 'oldold' (parameters fitted to the EEG data from one of our three participant groups). Alternatively, in can be a structure with fields chans, ac and pred. These fields specify the model parameters (see defaults for more information). figs: set to 0 (no figures), 1 (channel figures, including MAA predictions), 2 (auditory-cortex-response figures), 3 (all figures). out: structure containing the updated chans (channel parameters, tuning curves and gradients of tuning curves), ac (auditory cortex parameters and EEG response curves) and pred (MAA predictions) fields.