Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)

 Download zip file 
Help downloading and running models
Accession:113459
Examines the hypothesis that enlargement in cortical stimulus representation is a mechanism of categorical perception. Categorical perception is tested using discrimination and identification ability.
Reference:
1 . Kim H, Bao S (2008) Distributed representation of perceptual categories in the auditory cortex. J Comput Neurosci 24:277-90 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Auditory cortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Perceptual Categories; Audition;
Implementer(s): Bao, Shaowen [sbao at berkeley.edu]; Kim, Heesoo [heesoo at berkeley.edu];
function R = MNRRS (fre, cf, bw, max_amp, spont)
% function R = MNRRS(fre,cf,bw,max_amp,spont)
%
% Generation of a response by a model AI to a specific tone (fre).  The
% model AI has specific best frequency (cf), bandwidth (bw), maximum
% firing rate (max_amp), and spontaneous firing rate (spont) distributions
% fre and cf in the range of 1 to 30 kHz; bw in Octaves max_amp in
% spikes/stimulus
% Helper function for discrimination_MLR and categorization_llikhd.m
% 
% Bao Lab

fre = log2(fre);
cf = log2(cf);
bw(find(bw==0))=1;
R=max_amp.*exp(-(fre-cf).^2./(2*bw.^2));
R = poissrnd(R+spont);