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================================================================= PUBLIC DOMAIN NOTICE National Institute on Deafness and Other Communication Disorders This software/database is a "United States Government Work" under the terms of the United States Copyright Act. It was written as part of the author's official duties as a United States Government employee and thus cannot be copyrighted. This software/database is freely available to the public for use. The NIDCD and the U.S. Government have not placed any restriction on its use or reproduction. Although all reasonable efforts have been taken to ensure the accuracy and reliability of the software and data, the NIDCD and the U.S. Government do not and cannot warrant the performance or results that may be obtained by using this software or data. The NIDCD and the U.S. Government disclaim all warranties, express or implied, including warranties of performance, merchantability or fitness for any particular purpose. Please cite the author in any work or product based on this material. ================================================================= This is the directory for the extended neural network model for short-term memory of long sequences of auditory stimuli Antonio Ulloa National Institutes of Health Wed Feb 13 12:28:51 EST 2002 It is assumed that a directory <weights> already exists. The <weights> directory contains all the connection weights between regions. This weights are contained in *.w files. The *.w files were generated by executing the command netgen1 <*.ws> for each of the *.ws files. The shell script mkweights can be used to execute netgen1 for each of those files. The *.ws files can be modified by hand, similarly to most of the other input files for network generation and simulation. NOTE: do NOT regenerate the *.w files. These weights were generated by Fatima and copied to the <weights> directory. Apparently, they were generated by "netgenFatima". However, generating weights with "netgenFatima" results in slightly different results than with the original weight files. Using "netgen1" to generate the weight files results in incativation of STG levels and up. NOTE [Fri Mar 1 14:11:34 EST 2002]: "netgenFatima" is simply called "netgen2" in the NETGEN directory and "netgen" in the bin directory. a) Minimum set of files needed to run the simulation: auseq.s % Contains all the necessary information to % execute an experimental trial ausimweightlist.txt % Description of connections among regions auseq.rs % Timeline of events in an exp. trial noinp_au.inp % Useful for a no input stream pethiattn.s auseq<n>.inp % Contains the time-varying input for % a sound sequence. resetall_au.inp % Useful to reset all the nodes b) Steps to run the simulation: bin/sim <auseq> % where <auseq> is a file with extension '.s' c) Output of the simulation: auseq.out % General output of the simulation debug.txt mgns.out % MGN units ea1u.out % Ai up-selective units ea1d.out % Ai down-selective units ea2u.out % Aii up-selective units ea2c.out % Aii contour-selective units ea2d.out % Aii down-selective units estg.out % STG units efd1.out % D1 units efd2.out % D2 units exfr.out % R units exfs.out % C units spec_pet.m % MatLab specification of PET d) To plot raster files of the simulations run plotoutput.m in MatLab e) To simulate fMRI copy <spect_pet.m> to directory <fMRI> go to directory <fMRI> run 'runfm' from MatLab
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