contourNeuronProp.C

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00001 /*!@file CINNIC/contourNeuronProp.C CINNIC classes */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
00005 // University of Southern California (USC) and the iLab at USC.         //
00006 // See http://iLab.usc.edu for information about this project.          //
00007 // //////////////////////////////////////////////////////////////////// //
00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected //
00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
00010 // in Visual Environments, and Applications'' by Christof Koch and      //
00011 // Laurent Itti, California Institute of Technology, 2001 (patent       //
00012 // pending; application number 09/912,225 filed July 23, 2001; see      //
00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status).     //
00014 // //////////////////////////////////////////////////////////////////// //
00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit.       //
00016 //                                                                      //
00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can   //
00018 // redistribute it and/or modify it under the terms of the GNU General  //
00019 // Public License as published by the Free Software Foundation; either  //
00020 // version 2 of the License, or (at your option) any later version.     //
00021 //                                                                      //
00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope  //
00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the   //
00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR      //
00025 // PURPOSE.  See the GNU General Public License for more details.       //
00026 //                                                                      //
00027 // You should have received a copy of the GNU General Public License    //
00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write   //
00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,   //
00030 // Boston, MA 02111-1307 USA.                                           //
00031 // //////////////////////////////////////////////////////////////////// //
00032 //
00033 // Primary maintainer for this file:  T Nathan Mundhenk <mundhenk@usc.edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/CINNIC/contourNeuronProp.C $
00035 // $Id: contourNeuronProp.C 4663 2005-06-23 17:47:28Z rjpeters $
00036 //
00037 
00038 #include "CINNIC/contourNeuronProp.H"
00039 #include "Util/log.H"
00040 
00041 // ############################################################
00042 // ############################################################
00043 // ##### ---CINNIC---
00044 // ##### Contour Integration:
00045 // ##### T. Nathan Mundhenk nathan@mundhenk.com
00046 // ############################################################
00047 // ############################################################
00048 
00049 
00050 
00051 //#################################################################
00052 /*!This method when called will place a charge in this neuron telling it
00053   where the charge came from and the polarity properties of the placing
00054   neuron
00055 */
00056 
00057 template <class CH, class X, class Y>
00058 ContourNeuronProp<CH,X,Y>::ContourNeuronProp()
00059 {
00060 }
00061 
00062 template <class CH, class X, class Y>
00063 ContourNeuronProp<CH,X,Y>::~ContourNeuronProp()
00064 {
00065 }
00066 
00067 template <class CH, class X, class Y>
00068 CH& ContourNeuronProp<CH,X,Y>::getCharge()
00069 {
00070   return charge;
00071 }
00072 
00073 template <class CH, class X, class Y>
00074 CH& ContourNeuronProp<CH,X,Y>::getThreshold()
00075 {
00076   return threshold;
00077 }
00078 
00079 template <class CH, class X, class Y>
00080 CH& ContourNeuronProp<CH,X,Y>::getSupressionMod()
00081 {
00082   return supressionMod;
00083 }
00084 
00085 template <class CH, class X, class Y>
00086 void ContourNeuronProp<CH,X,Y>::setSupressionMod(CH& sup)
00087 {
00088   supressionMod = sup;
00089 }
00090 
00091 template <class CH, class X, class Y>
00092 void ContourNeuronProp<CH,X,Y>::setSupressionBool()
00093 {
00094   supress = false;
00095 }
00096 
00097 template <class CH, class X, class Y>
00098 void ContourNeuronProp<CH,X,Y>::setSupressionThresh(CH& thresh, CH& changeVal, CH& max)
00099 {
00100   supressionModThresh = thresh;
00101   supressionModChange = changeVal;
00102   supressionCeiling = max;
00103 }
00104 
00105 template <class CH, class X, class Y>
00106 void ContourNeuronProp<CH,X,Y>::Charge(CH& _charge, bool _pol, bool _sender)
00107 {
00108   if(_pol == true)
00109   {
00110     if(_charge > 0)
00111     {
00112       chargePos+=(_charge*(float)(1/resistance));
00113       //add charges which will go to pos polarity synapses
00114     }
00115   }
00116   else
00117   {
00118     if(_charge > 0)
00119     {
00120       chargeNeg+=(_charge*(float)(1/resistance));
00121       //add charges which will go to neg  polarity synapses
00122     }
00123   }
00124   charge+=_charge;
00125 }
00126 
00127 template <class CH, class X, class Y>
00128 void ContourNeuronProp<CH,X,Y>::ChargeSimple(CH& _charge)
00129 {
00130   charge+=_charge;
00131 }
00132 
00133 /*!This method when called will return all the charges that should go to a
00134   another neuron from this neuron given the other neurons polarity
00135 */
00136 template <class CH, class X, class Y>
00137 CH& ContourNeuronProp<CH,X,Y>::DisCharge(bool _pol, bool _sender, int a, int cascadeType)
00138 {
00139   if(_sender == true)
00140   {
00141     discharge = 0;
00142   }
00143   else
00144   {
00145     if((a == 0) || (cascadeType == 2))// allow cross over for cascade at 0 degrees
00146     {
00147       discharge = chargePos + chargeNeg;
00148     }
00149     else
00150     {
00151       if(_pol == true)
00152       {
00153         discharge = chargePos;
00154       }
00155       else
00156       {
00157         discharge = chargeNeg;
00158       }
00159     }
00160   }
00161   return discharge;
00162 }
00163 
00164 /*!this method stores the neurons fireing threshold at which point
00165   it fires a salience charge
00166 */
00167 template <class CH, class X, class Y>
00168 void ContourNeuronProp<CH,X,Y>::setThreshold(CH& Threshold, CH& Resistance)
00169 {
00170   threshold = Threshold;
00171   resistance = 1/Resistance;
00172 }
00173 
00174 /*!This method resets the place counter for the charge storage
00175   vector in effect putting its charge to 0;
00176 */
00177 template <class CH, class X, class Y>
00178 void ContourNeuronProp<CH,X,Y>::ResetTempCharge()
00179 {
00180   chargePos = 0;
00181   chargeNeg = 0;
00182 }
00183 
00184 template <class CH, class X, class Y>
00185 void ContourNeuronProp<CH,X,Y>::ResetCharge()
00186 {
00187   charge = 0;
00188 }
00189 
00190 template <class CH, class X, class Y>
00191 void ContourNeuronProp<CH,X,Y>::ResetChargeAll()
00192 {
00193   charge = 0;
00194   chargePos = 0;
00195   chargeNeg = 0;
00196 }
00197 
00198 template <class CH, class X, class Y>
00199 void ContourNeuronProp<CH,X,Y>::setUpperLimit()
00200 {
00201   // FIXME had to comment this out because 'upperLimit' is not declared
00202   // anywhere
00203 
00204 //   charge = upperLimit;
00205 }
00206 
00207 #if 0
00208 // commented this section out; see explanation in contourNeuronProp.H
00209 
00210 void ContourNeuronPropVec::setSize(int t, int i, int j, int k)
00211 {
00212   T=t;I=i;J=j;K=k;
00213   LINFO("setting image size as %d,%d,%d,%d",T,I,J,K);
00214   ContourNeuronProp<float,int,int> Ptemp[T][I][J][K];
00215   NeuronMatrix[T][I][J][K] = ****Ptemp;
00216   LINFO("done");
00217 }
00218 
00219 int ContourNeuronPropVec::getSizeT()
00220 {
00221   return T;
00222 }
00223 
00224 #endif
00225 
00226 template class ContourNeuronProp<float, int, int>;
00227 
00228 // ######################################################################
00229 /* So things look consistent in everyone's emacs... */
00230 /* Local Variables: */
00231 /* indent-tabs-mode: nil */
00232 /* End: */
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