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GeNN
2.2.3
GPU enhanced Neuronal Networks (GeNN)
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#include "experiment.h"#include <time.h>#include <algorithm>#include <sys/types.h>#include <sys/stat.h>Classes | |
| struct | Parameter |
Macros | |
| #define | RAND(Y, X) Y = Y * 1103515245 +12345;X= (unsigned int)(Y >> 16) & 32767 |
| #define | S_ISDIR(mode) (((mode) & S_IFMT) == S_IFDIR) |
Typedefs | |
| typedef struct Parameter | Parameter |
Functions | |
| bool | directoryExists (string const &path) |
| bool | createDirectory (string path) |
| float | getAverage (vector< float > &v) |
| float | getStdDev (vector< float > &v, float avg) |
| bool | printTextFile (string path) |
| string | getUniqueRunId () |
| void | outputRunParameters () |
| bool | applyInputToClassifier (UINT recordingIdx, bool usePlasticity) |
| bool | vectorContains (vector< int > &vec, int lookingFor) |
| void | setDefaultParamValues () |
| int | main (int argc, char *argv[]) |
Variables | |
| Schmuker2014_classifier | classifier |
| #define RAND | ( | Y, | |
| X | |||
| ) | Y = Y * 1103515245 +12345;X= (unsigned int)(Y >> 16) & 32767 |
| #define S_ISDIR | ( | mode | ) | (((mode) & S_IFMT) == S_IFDIR) |
| bool applyInputToClassifier | ( | UINT | recordingIdx, |
| bool | usePlasticity | ||
| ) |
| bool createDirectory | ( | string | path | ) |
| bool directoryExists | ( | string const & | path | ) |
| float getAverage | ( | vector< float > & | v | ) |
| float getStdDev | ( | vector< float > & | v, |
| float | avg | ||
| ) |
| string getUniqueRunId | ( | ) |
| int main | ( | int | argc, |
| char * | argv[] | ||
| ) |
| void outputRunParameters | ( | ) |
| bool printTextFile | ( | string | path | ) |
| void setDefaultParamValues | ( | ) |
| bool vectorContains | ( | vector< int > & | vec, |
| int | lookingFor | ||
| ) |
| Schmuker2014_classifier classifier |