Auditory nerve model for predicting performance limits (Heinz et al 2001)

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Accession:36834
A computational auditory nerve (AN) model was developed for use in modeling psychophysical experiments with normal and impaired human listeners. In this phenomenological model, many physiologically vulnerable response properties associated with the cochlear amplifier are represented by a single nonlinear control mechanism, see paper for details. Several model versions are described that can be used to evaluate the relative effects of these nonlinear properties.
Reference:
1 . Heinz MG, Zhang X, Bruce IC, Carney LH (2001) Auditory nerve model for predicting performance limits of normal and impaired listeners. Acoustics Research Letters Online 2(3):91-96
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Auditory nerve;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Activity Patterns; Temporal Pattern Generation; Audition;
Implementer(s): Zhang, Xuedong ;
% This file compiles the matlab version of the ARLO auditory nerve model:
% Auditory nerve model for predicting performance limits of normal and impaired listeners
% Heinz, Zhang, Bruce, and Carney  ARLO (2001) 2:91-96.
%
% This creates the matlab function: an_arlo, which creates the sypnapse output
%    in response to an arbitrary input stimulus, scaled in pascals.
mex an_arlo.c runmodel.c cmpa.c hc.c complex.c filters.c synapse.c

% This creates the matlab function sgmodel, which is a spike generation model.
mex sgmodel.c spikes.c

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