Main Page   Namespace List   Class Hierarchy   Compound List   File List   Namespace Members   Compound Members   File Members  

analyze.c File Reference

Subroutines for analyzing network properties such as ocular dominance. More...

#include <math.h>
#include <string.h>
#include <time.h>
#include <ctype.h>
#include "ipc.h"
#include "cmdparam.h"
#include "lissom.h"
#include "kernel.h"
#include "globals.h"
#include "vgen.h"
#include "tilt.h"
#include "ppm_draw.h"
#include "fit_gauss.h"
#include "file_io.h"
#include "analyze.h"

Include dependency graph for analyze.c:

Include dependency graph

Go to the source code of this file.

Compounds

struct  cmdobj_analyze_bubblewidth
struct  cmdobj_connection_statistics
struct  cmdobj_copy_network
struct  cmdobj_find_bubblewidth
struct  cmdobj_kurtosis_contrast
struct  cmdobj_measure_od_pref
struct  cmdobj_measure_or_pref
struct  cmdobj_OD_features
struct  cmdobj_OR_features
struct  cmdobj_orientation_contrast
struct  cmdobj_plot_od_pref
struct  cmdobj_plot_or_pref
struct  cmdobj_restore_network
struct  cmdobj_SP_features
struct  cmdobj_spatial_contrast
struct  cmdobj_visualize
struct  Map_Feature

Defines

#define SAVE_OR_PPM_ONLY
 If defined don't create filebase.iter.or or filebase.iter.sp files, just .ppm. More...

#define SAVE_WTS_PPM_ONLY
 If defined don't create maple or mathematica weights plots, just .ppm. More...

#define MAPLE   1
#define MATH   2
#define OR_INPUT_RESPONSE   0
#define OR_GAUSSFIT   1
#define OR_MAX_METHOD   1
#define NMAP_FEATURES   50
#define NSELECTIVITIES   10
#define NUM_BUBBLE_AREAS   2
 Defined as 2, for within bubble radius and outside. More...

#define ORF_MIN   0
#define ORF_MAX   1
#define NUM_OR_FEATURE_TYPES   2
#define GAUSSIAN_LEN   7.0
 Length of measuring stimulus. More...

#define GAUSSIAN_WIDTH   1.5
 Width of the measuring stimulus. More...

#define ACTIVE_RN   (RN-2*retina_edge_buffer)
 The formula used in ACTIVE_RN is due to Joseph Sirosh; its derivation is unknown but it appears to scale the frequency to a range that has a reasonable chance at stimulating a neuron, giving the size allowed for receptive fields. More...

#define NUMBER_TO_FREQ(freqnumber)    ((double)(2*rf_radius+1)/(double)ACTIVE_RN * sp_min_frequency * M_PI/(double)ACTIVE_RN * (double)(sp_num_frequencies/(double)(freqnumber)))
#define NUMBER_TO_PHASE(phasenumber)    ((((double)(phasenumber))/sp_num_phases ) * 2.0 * M_PI)
#define PHASE_TO_NUMBER(phase)    ((int)((phase)*sp_num_phases/(2.0*M_PI)))
#define TRUNCATE_EXAMPLES_TO_SPACE_AVAIL(ui,uj,uk,ul,examples)

Functions

cmdstat cmd_analyze_bubblewidth ( int argc, const char *argv[] )
 Only define this if absolutely necessary, since it will take a lot of extra memory. More...

cmdstat cmd_connection_statistics ( int argc, const char *argv[] )
cmdstat cmd_copy_network ( int argc, const char *argv[] )
cmdstat cmd_find_bubblewidth ( int argc, const char *argv[] )
 Sets the iterations between which to find widths. More...

cmdstat cmd_kurtosis_contrast ( int argc, const char *argv[] )
cmdstat cmd_measure_od_pref ( int argc, const char *argv[] )
 Currently supports measuring the entire cortex only, but can plot a smaller portion. More...

cmdstat cmd_measure_or_pref ( int argc, const char *argv[] )
cmdstat cmd_OD_features ( int argc, const char *argv[] )
 This function dumps the weights of the significant features in the orientation map, such as regions of lowest and highest OD values. More...

cmdstat cmd_OR_features ( int argc, const char *argv[] )
cmdstat cmd_orientation_contrast ( int argc, const char *argv[] )
 Measure the change in neural response with contrast for input activity and settled activity. More...

cmdstat cmd_plot_od_pref ( int argc, const char *argv[] )
cmdstat cmd_plot_or_pref ( int argc, const char *argv[] )
cmdstat cmd_restore_network ( int argc, const char *argv[] )
cmdstat cmd_SP_features ( int argc, const char *argv[] )
cmdstat cmd_spatial_contrast ( int argc, const char *argv[] )
cmdstat cmd_visualize ( int argc, const char *argv[] )
void compute_mexhat (int i, int j)
 Compute Mexican hat for neuron (i,j). More...

void find_max (double *max_or_select, double *max_od, int low_index, int high_index)
 Find maximum selectivity and ocular dominance in the given region of the network. More...

int find_OD_maxmin (int *nexamples, int low, int high)
int find_OR_maxmin (int *nexamples, int low, int high)
 Determines regions of highest and lowest orientation selectivity. More...

void find_peak_aff_wts (int low,int high)
int find_sp_maxmin (int *nexamples, int low, int high)
double gauss_2d (double x, double y, double r, double theta, double cx, double cy, double sigmax, double sigmay)
void gaussfit_preferences (Neuron nmap[NMAX][NMAX], int low, int high)
void graph_histo (int sel, double or_division)
void graph_od (int ui, int uj, int output_routine)
void graph_wts (int ui, int uj, int output_routine)
void input_response (Neuron nmap[NMAX][NMAX], double response[MAX_NUM_EYES][NROWS][NMAX], int eye, int input_eye, int low, int high, double peak_scale)
 Compute response to data in the given input_eye for the weights of the given eye. More...

void input_response_ij (Neuron nmap[NMAX][NMAX], double response[MAX_NUM_EYES][NMAX][NMAX], int eye, int ui, int uj)
 Compute response to data in retina 0 for the given eye. More...

void kurtosis (double map_act[NMAX][NMAX], double *input_v, int lowk, int lowl, int highk, int highl, double *kurt_act, double *kurt_inp)
 Routines for calculating Kurtosis of activity in a 1D array. More...

void maple (FILE *fp, l_weight *weights, int radius, int ui, int uj, const char *title, const char *zaxis)
void mathematica (FILE *fp, l_weight *weights, int radius, int ui, int uj)
void measure_rf (int ui, int uj)
 Routine to measure the dynamic receptive field. More...

void moment (double *data, int n, double sum, double *ave, double *adev, double *sdev, double *svar, double *curt)
 moment() from 'Numerical Recipes in C', slightly modified. More...

void or_preferences (Neuron nmap[NMAX][NMAX], int low, int high)
 OR Pref is estimated for each eye using sinusoidal gratings of different phases and frequencies and orientations. More...

void or_selectivity (int low, int high)
 Orientation selectivity is determined using previously saved maximum responses. More...

void oriented_rfinput (double angle, double sigmax, double sigmay, int c_1, int c_2, double scale)
void plot_afferent_wts (int output_routine, FILE *fp, int ui, int uj, char *title, const char *zaxis)
void save_ascii_or_pref_file (void)
void sine_grating_input (int eye, double freq, double phase, double angle)
 Draws a sine wave grating in the retina of the given eye. More...

void analyze_init_hook ( void )
void od_preferences (double pref[NMAX][NMAX], Neuron nmap[NMAX][NMAX])
 Calculate ocular dominance preference. More...


Variables

int save_images_from_measure_or_pref = 0
int or_pref_method = Uninitialized
double sp_min_frequency = 10
int sp_num_frequencies = Uninitialized
int sp_num_phases = Uninitialized
int sp_random_phases = False
int end_dynamic = MAXITERATION
 Iteration to stop calculating drfs. More...

double final_bubblewidth = 0.0
 The average final bubble width. More...

double gaussfit_array [RNMAX][RNMAX]
 The weight values. More...

double gaussian [RNMAX][RNMAX]
 The return values. More...

double init_bubblewidth = 0.0
 The average initial bubble width. More...

int lesion_radius
 Radius of retinal lesion. More...

double max_resp [EYE_ARRAY_SIZE][NROWS][NMAX]
double max_resp_angle [EYE_ARRAY_SIZE][NROWS][NMAX][MAX_NUM_ANGLES]
double od_pref [NMAX][NMAX]
 Array of od preferences. More...

int od_dumped = Uninitialized
 Last iteration at which OD was dumped. More...

int or_dumped = Uninitialized
 Last iteration at which OR was dumped. More...

Map_Feature or_features [NUM_OR_FEATURE_TYPES][NMAP_FEATURES]
double or_select [EYE_ARRAY_SIZE][NMAX][NMAX]
int or_pref [EYE_ARRAY_SIZE][NMAX][NMAX]
 A value from 0 to 1. More...

Histo OR_histo [NSELECTIVITIES][NUM_BUBBLE_AREAS][MAX_NUM_ANGLES][MAX_NUM_ANGLES]
FILE* peakfile
double peak_aff_wt [MAX_NUM_EYES][NROWS][NMAX]
 Peak afferent weight. More...

double rf_threshold = 0.0
 activity thresh, for inclusion in drf. More...

int rf_i = 0
int rf_j = 0
 Neuron whose rf is to be visualized. More...

int sp_freq [EYE_ARRAY_SIZE][NMAX][NMAX]
 Spatial frequencies, as integers. More...

int sp_phase [EYE_ARRAY_SIZE][NMAX][NMAX]
int start_dynamic = MAXITERATION
 Iteration to start calculating drfs. More...

Wts temp_wts
int ui_dynamic
 Unit on which to measure dynamic rfs. More...

int uj_dynamic
int width_analysis_end = MAXITERATION
 Iterations between which to analyze. More...

int width_analysis_start = MAXITERATION
 activity bubble widths. More...


Detailed Description

Subroutines for analyzing network properties such as ocular dominance.

Header:
/u/nn/cvsroot/lissom/src/analyze.c,v 1.74 2000/05/05 08:07:36 jbednar Exp

Definition in file analyze.c.


Define Documentation

#define ACTIVE_RN   (RN-2*retina_edge_buffer)
 

The formula used in ACTIVE_RN is due to Joseph Sirosh; its derivation is unknown but it appears to scale the frequency to a range that has a reasonable chance at stimulating a neuron, giving the size allowed for receptive fields.

The parameter sp_min_frequency was originally hardcoded to 1.5, but when the number of frequencies is low, it's better to be able to set this value explicitly.

Assording to Joseph's comments, the minimum freq is Pi/2RN, and the maximum is PI/2RN*sp_num_frequencies. That doesn't seem to match the formula, though.

981002 James A. Bednar

Definition at line 94 of file analyze.c.

#define GAUSSIAN_LEN   7.0
 

Length of measuring stimulus.

Definition at line 56 of file analyze.c.

#define GAUSSIAN_WIDTH   1.5
 

Width of the measuring stimulus.

Definition at line 58 of file analyze.c.

#define MAPLE   1
 

Definition at line 36 of file analyze.c.

#define MATH   2
 

Definition at line 37 of file analyze.c.

#define NMAP_FEATURES   50
 

Definition at line 45 of file analyze.c.

#define NSELECTIVITIES   10
 

Definition at line 46 of file analyze.c.

#define NUMBER_TO_FREQ( freqnumber )   ((double)(2*rf_radius+1)/(double)ACTIVE_RN * sp_min_frequency * M_PI/(double)ACTIVE_RN * (double)(sp_num_frequencies/(double)(freqnumber)))
 

Definition at line 96 of file analyze.c.

#define NUMBER_TO_PHASE( phasenumber )   ((((double)(phasenumber))/sp_num_phases ) * 2.0 * M_PI)
 

Definition at line 98 of file analyze.c.

#define NUM_BUBBLE_AREAS   2
 

Defined as 2, for within bubble radius and outside.

Definition at line 49 of file analyze.c.

#define NUM_OR_FEATURE_TYPES   2
 

Definition at line 54 of file analyze.c.

#define ORF_MAX   1
 

Definition at line 53 of file analyze.c.

#define ORF_MIN   0
 

Definition at line 52 of file analyze.c.

#define OR_GAUSSFIT   1
 

Definition at line 40 of file analyze.c.

#define OR_INPUT_RESPONSE   0
 

Definition at line 39 of file analyze.c.

#define OR_MAX_METHOD   1
 

Definition at line 41 of file analyze.c.

#define PHASE_TO_NUMBER( phase )   ((int)((phase)*sp_num_phases/(2.0*M_PI)))
 

Definition at line 99 of file analyze.c.

#define SAVE_OR_PPM_ONLY
 

If defined don't create filebase.iter.or or filebase.iter.sp files, just .ppm.

Definition at line 31 of file analyze.c.

#define SAVE_WTS_PPM_ONLY
 

If defined don't create maple or mathematica weights plots, just .ppm.

Definition at line 34 of file analyze.c.

#define TRUNCATE_EXAMPLES_TO_SPACE_AVAIL( ui, uj, uk, ul, examples )
 

Initializer:

\
{                                                                     \
  const int max_examples = MIN( (uk-ui+1)*(ul-uj+1), NMAP_FEATURES ); \
  if (examples > max_examples) {                                      \
    ipc_notify(IPC_ALL,IPC_CAUTION,"Not enough neurons in region (%d,%d) to (%d,%d) to find %d examples; will look for at most %d", ui,uj,uk,ul,*nexamples,max_examples); \
    examples = max_examples;                                          \
  }                                                                   \
}

Definition at line 1910 of file analyze.c.


Function Documentation

void analyze_init_hook ( void )
 

Definition at line 219 of file analyze.c.

cmdstat cmd_OD_features ( int argc,
const char * argv[] )
 

This function dumps the weights of the significant features in the orientation map, such as regions of lowest and highest OD values.

Definition at line 2100 of file analyze.c.

cmdstat cmd_OR_features ( int argc,
const char * argv[] )
 

Definition at line 1843 of file analyze.c.

cmdstat cmd_SP_features ( int argc,
const char * argv[] )
 

Definition at line 1974 of file analyze.c.

cmdstat cmd_analyze_bubblewidth ( int argc,
const char * argv[] )
 

Only define this if absolutely necessary, since it will take a lot of extra memory.

Definition at line 829 of file analyze.c.

cmdstat cmd_connection_statistics ( int argc,
const char * argv[] )
 

Definition at line 2657 of file analyze.c.

cmdstat cmd_copy_network ( int argc,
const char * argv[] )
 

Definition at line 495 of file analyze.c.

cmdstat cmd_find_bubblewidth ( int argc,
const char * argv[] )
 

Sets the iterations between which to find widths.

Definition at line 803 of file analyze.c.

cmdstat cmd_kurtosis_contrast ( int argc,
const char * argv[] )
 

Definition at line 705 of file analyze.c.

cmdstat cmd_measure_od_pref ( int argc,
const char * argv[] )
 

Currently supports measuring the entire cortex only, but can plot a smaller portion.

Definition at line 1485 of file analyze.c.

cmdstat cmd_measure_or_pref ( int argc,
const char * argv[] )
 

Definition at line 1566 of file analyze.c.

cmdstat cmd_orientation_contrast ( int argc,
const char * argv[] )
 

Measure the change in neural response with contrast for input activity and settled activity.

Use gaussians of various widths. Subtract gaussians from mean. Multiply receptive field with half the peak wt subtracted with the gaussian to get the input response. Multiply the input response with various values and get the map response after lateral interaction. Store the response of this neuron for all these values of contrast.

Definition at line 548 of file analyze.c.

cmdstat cmd_plot_od_pref ( int argc,
const char * argv[] )
 

Definition at line 1767 of file analyze.c.

cmdstat cmd_plot_or_pref ( int argc,
const char * argv[] )
 

Definition at line 1691 of file analyze.c.

cmdstat cmd_restore_network ( int argc,
const char * argv[] )
 

Definition at line 518 of file analyze.c.

cmdstat cmd_spatial_contrast ( int argc,
const char * argv[] )
 

Definition at line 620 of file analyze.c.

cmdstat cmd_visualize ( int argc,
const char * argv[] )
 

Definition at line 2203 of file analyze.c.

void compute_mexhat ( int i,
int j )
 

Compute Mexican hat for neuron (i,j).

The exc and inh wts have already been scaled by gammaexc*5 and gammainh*5. The hat is returned in the inh wts.

Definition at line 2381 of file analyze.c.

int find_OD_maxmin ( int * nexamples,
int low,
int high )
 

Definition at line 2148 of file analyze.c.

int find_OR_maxmin ( int * nexamples,
int low,
int high )
 

Determines regions of highest and lowest orientation selectivity.

Definition at line 1922 of file analyze.c.

void find_max ( double * max_or_select,
double * max_od,
int low_index,
int high_index )
 

Find maximum selectivity and ocular dominance in the given region of the network.

Must be called only after or_select and od_pref have been collected from each PE.

Definition at line 2643 of file analyze.c.

void find_peak_aff_wts ( int low,
int high )
 

Definition at line 1187 of file analyze.c.

int find_sp_maxmin ( int * nexamples,
int low,
int high )
 

Definition at line 2047 of file analyze.c.

double gauss_2d ( double x,
double y,
double r,
double theta,
double cx,
double cy,
double sigmax,
double sigmay )
 

Definition at line 2998 of file analyze.c.

void gaussfit_preferences ( Neuron nmap[NMAX][NMAX],
int low,
int high )
 

Definition at line 2844 of file analyze.c.

void graph_histo ( int sel,
double or_division )
 

Definition at line 2789 of file analyze.c.

void graph_od ( int ui,
int uj,
int output_routine )
 

Definition at line 2316 of file analyze.c.

void graph_wts ( int ui,
int uj,
int output_routine )
 

Definition at line 2225 of file analyze.c.

void input_response ( Neuron nmap[NMAX][NMAX],
double response[MAX_NUM_EYES][NROWS][NMAX],
int eye,
int input_eye,
int low,
int high,
double peak_scale )
 

Compute response to data in the given input_eye for the weights of the given eye.

Definition at line 1217 of file analyze.c.

void input_response_ij ( Neuron nmap[NMAX][NMAX],
double response[MAX_NUM_EYES][NMAX][NMAX],
int eye,
int ui,
int uj )
 

Compute response to data in retina 0 for the given eye.

Definition at line 1272 of file analyze.c.

void kurtosis ( double map_act[NMAX][NMAX],
double * input_v,
int lowk,
int lowl,
int highk,
int highl,
double * kurt_act,
double * kurt_inp )
 

Routines for calculating Kurtosis of activity in a 1D array.

1. Kurtosis is evaluated for data points in a 1D array of double. 2. I have a simple interface function for evaluating activity in a part of the 2D map_activity array, and for the input_vector.

Definition at line 953 of file analyze.c.

void maple ( FILE * fp,
l_weight * weights,
int radius,
int ui,
int uj,
const char * title,
const char * zaxis )
 

Definition at line 2410 of file analyze.c.

void mathematica ( FILE * fp,
l_weight * weights,
int radius,
int ui,
int uj )
 

Definition at line 2443 of file analyze.c.

void measure_rf ( int ui,
int uj )
 

Routine to measure the dynamic receptive field.

The optimal orientation for the neuron is determined from the orientation preferences array. Gaussian training inputs are presented at all locations of the cell's receptive field at this optimal orientation. The response at each location after lateral interaction is saved as the cells' dynamic RF. In the display routine, this response is plotted by a color code.

Definition at line 1072 of file analyze.c.

void moment ( double * data,
int n,
double sum,
double * ave,
double * adev,
double * sdev,
double * svar,
double * curt )
 

moment() from 'Numerical Recipes in C', slightly modified.

Definition at line 994 of file analyze.c.

Referenced by kurtosis().

void od_preferences ( double pref[NMAX][NMAX],
Neuron nmap[NMAX][NMAX] )
 

Calculate ocular dominance preference.

pref is a value from 0 to 1, 1 being a complete preference for the left eye (index 0) relative to the right eye(s). This is presumably meaningful only with two eyes; with one eye it should always be 1.0, and with more a preference should be calculated for each of the eyes, not just the left one.

Definition at line 1529 of file analyze.c.

void or_preferences ( Neuron nmap[NMAX][NMAX],
int low,
int high )
 

OR Pref is estimated for each eye using sinusoidal gratings of different phases and frequencies and orientations.

For each cell, for each spatial frequency, for each spatial phase, for each orientation, the response is computed and compared with current maximum. The spatial frequency, phase, and orientation for which the cell responds best is saved as its preference. These parameters are estimated separately for each eye, so that any disparity selectivity can be detected immediately.

Originally, Joseph had input_response subtract half the peak weight from the afferent weights before multiplying by the sinusoid, but that is either a very bad idea or had a very bad bug, since it results in a tiled pattern of the retina being displayed all across the network, one for every retinal input unit. Without that it works fine.

To calculate orientation selectivity, the maximum response for each angle at any spatial freq and phase are also saved.

Definition at line 1308 of file analyze.c.

void or_selectivity ( int low,
int high )
 

Orientation selectivity is determined using previously saved maximum responses.

For orientations of 0..PI of the preferred grating, the input response is determined, and a vector sum of the responses V_sum is calculated. The OR selectivity is then the ratio |V_sum|/or_num_angles to the mean length of the or_num_angles vectors.

Definition at line 1420 of file analyze.c.

void oriented_rfinput ( double angle,
double sigmax,
double sigmay,
int cx,
int cy,
double scale )
 

Definition at line 1048 of file analyze.c.

void plot_afferent_wts ( int output_routine,
FILE * fp,
int ui,
int uj,
char * title,
const char * zaxis )
 

Definition at line 2487 of file analyze.c.

void save_ascii_or_pref_file ( void )
 

Definition at line 1634 of file analyze.c.

void sine_grating_input ( int eye,
double freq,
double phase,
double angle )
 

Draws a sine wave grating in the retina of the given eye.

Every processor calculates the same sine input.

Definition at line 1031 of file analyze.c.


Variable Documentation

Histo OR_histo[NSELECTIVITIES][NUM_BUBBLE_AREAS][MAX_NUM_ANGLES][MAX_NUM_ANGLES]
 

Definition at line 133 of file analyze.c.

int end_dynamic = MAXITERATION
 

Iteration to stop calculating drfs.

Definition at line 119 of file analyze.c.

double final_bubblewidth = 0.0
 

The average final bubble width.

Definition at line 120 of file analyze.c.

double gaussfit_array[RNMAX][RNMAX]
 

The weight values.

Definition at line 121 of file analyze.c.

double gaussian[RNMAX][RNMAX]
 

The return values.

Definition at line 122 of file analyze.c.

double init_bubblewidth = 0.0
 

The average initial bubble width.

Definition at line 123 of file analyze.c.

int lesion_radius
 

Radius of retinal lesion.

Definition at line 124 of file analyze.c.

double max_resp[EYE_ARRAY_SIZE][NROWS][NMAX]
 

Definition at line 125 of file analyze.c.

double max_resp_angle[EYE_ARRAY_SIZE][NROWS][NMAX][MAX_NUM_ANGLES]
 

Definition at line 126 of file analyze.c.

int od_dumped = Uninitialized
 

Last iteration at which OD was dumped.

Definition at line 128 of file analyze.c.

double od_pref[NMAX][NMAX]
 

Array of od preferences.

Definition at line 127 of file analyze.c.

int or_dumped = Uninitialized
 

Last iteration at which OR was dumped.

Definition at line 129 of file analyze.c.

Map_Feature or_features[NUM_OR_FEATURE_TYPES][NMAP_FEATURES]
 

Definition at line 130 of file analyze.c.

int or_pref[EYE_ARRAY_SIZE][NMAX][NMAX]
 

A value from 0 to 1.

Definition at line 132 of file analyze.c.

int or_pref_method = Uninitialized
 

Definition at line 109 of file analyze.c.

double or_select[EYE_ARRAY_SIZE][NMAX][NMAX]
 

Definition at line 131 of file analyze.c.

double peak_aff_wt[MAX_NUM_EYES][NROWS][NMAX]
 

Peak afferent weight.

Definition at line 135 of file analyze.c.

FILE * peakfile
 

Definition at line 134 of file analyze.c.

int rf_i = 0
 

Definition at line 137 of file analyze.c.

int rf_j = 0
 

Neuron whose rf is to be visualized.

Definition at line 137 of file analyze.c.

double rf_threshold = 0.0
 

activity thresh, for inclusion in drf.

Definition at line 136 of file analyze.c.

int save_images_from_measure_or_pref = 0
 

Definition at line 107 of file analyze.c.

int sp_freq[EYE_ARRAY_SIZE][NMAX][NMAX]
 

Spatial frequencies, as integers.

Definition at line 138 of file analyze.c.

double sp_min_frequency = 10
 

Definition at line 110 of file analyze.c.

int sp_num_frequencies = Uninitialized
 

Definition at line 111 of file analyze.c.

int sp_num_phases = Uninitialized
 

Definition at line 112 of file analyze.c.

int sp_phase[EYE_ARRAY_SIZE][NMAX][NMAX]
 

Definition at line 139 of file analyze.c.

int sp_random_phases = False
 

Definition at line 113 of file analyze.c.

int start_dynamic = MAXITERATION
 

Iteration to start calculating drfs.

Definition at line 140 of file analyze.c.

Wts temp_wts
 

Definition at line 141 of file analyze.c.

int ui_dynamic
 

Unit on which to measure dynamic rfs.

Definition at line 142 of file analyze.c.

int uj_dynamic
 

Definition at line 143 of file analyze.c.

int width_analysis_end = MAXITERATION
 

Iterations between which to analyze.

Definition at line 144 of file analyze.c.

int width_analysis_start = MAXITERATION
 

activity bubble widths.

Definition at line 145 of file analyze.c.


Generated at Mon Aug 21 00:30:55 2000 for RF-LISSOM by doxygen1.2.1 written by Dimitri van Heesch, © 1997-2000