Examples of cnslab.cnsnetwork.Stimulus

cnslab.cnsnetwork.Stimulus
Stimulus class contains all types of stimulus. The injected spikes are assumed to be inhomogeneous Poisson spikes, similar to BKPoissonNeuron. @version $Date: 2012-08-04 20:43:22 +0200 (Sat, 04 Aug 2012) $ $Rev: 104 $ $Author: croft $ @author Yi Dong @author David Wallace Croft, M.Sc. @author Jeremy Cohen

      
      assertEquals (
        2,
        stimuli.length );
      
      final Stimulus  stimulus0 = stimuli [ 0 ];
      
      final Stimulus  stimulus1 = stimuli [ 1 ];
      
      assertNotNull ( stimulus0 );
      
      assertNotNull ( stimulus1 );
      
      assertNull ( stimulus0.simulatorParser );
      
      assertNull ( stimulus1.simulatorParser );
      
      // strength
      
      assertEquals (
        1e-10,
        stimulus0.getStrength ( ),
        0 );
      
      assertEquals (
        1e-10,
        stimulus1.getStrength ( ),
        0 );
      
      // type
      
      assertEquals (
        0,
        stimulus0.getType ( ) );
      
      assertEquals (
        0,
        stimulus1.getType ( ) );
      
      // onTime
      
      assertEquals (
        0.0,
        stimulus0.getOnTime ( ),
        0 );
      
      assertEquals (
        0.0,
        stimulus1.getOnTime ( ),
        0 );
      
      // offTime
      
      assertEquals (
        10.0,
        stimulus0.getOffTime ( ),
        0 );
      
      assertEquals (
        10.0,
        stimulus1.getOffTime ( ),
        0 );
      
      // freq
      
      assertEquals (
        40.0,
        stimulus0.getFreq ( ),
        0 );
      
      assertEquals (
        40.0,
        stimulus1.getFreq ( ),
        0 );
      
      // decay
      
      assertEquals (
        0.0,
        stimulus0.getDecay ( ),
        0 );
      
      assertEquals (
        0.0,
        stimulus1.getDecay ( ),
        0 );
      
      // seed
      
      assertNotNull ( stimulus0.seed );
      
      assertNotNull ( stimulus1.seed );
      
      // channel
      
      assertEquals (
        -1,
        stimulus0.getChannel ( ) );
      
      assertEquals (
        -1,
        stimulus1.getChannel ( ) );
      
      // TODO:  For prefix and suffix parsing, see Stimulus.background()
      
      final Recorder  recorder = experiment.recorder;

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      int y1,
      int x2,
      int y2)
    ////////////////////////////////////////////////////////////////////////
    {
      Stimulus stimulus = createStimulus ( );
      
      stimulus.plotLine ( x1 , y1, x2, y2, "AA", "BB" );


      final List<PInputEvent> poissonInputList = stimulus.init ( -1 );
      
      assertNotNull ( poissonInputList );
            
      int deltaX = Math.abs ( x2 - x1 );
      int deltaY = Math.abs ( y2 - y1 );

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      int y1,
      int x2,
      int y2)
    ////////////////////////////////////////////////////////////////////////
    {
      Stimulus stimulus = createStimulus ( );
            
      stimulus.plotSquare ( x1 , y1, x2, y2, "AA", "BB" );


      final List<PInputEvent> poissonInputList = stimulus.init ( -1 );
      
      assertNotNull ( poissonInputList );
            
      int deltaX = Math.abs ( x2 - x1 );
      int deltaY = Math.abs ( y2 - y1 );

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      int y1,
      int x2,
      int y2)
    ////////////////////////////////////////////////////////////////////////
    {
      Stimulus stimulus = createStimulus ( );
      
      stimulus.plotFilledSquare ( x1 , y1, x2, y2, "AA", "BB" );


      final List<PInputEvent> poissonInputList = stimulus.init ( -1 );
      
      assertNotNull ( poissonInputList );
            
      int deltaX = Math.abs ( x2 - x1 );
      int deltaY = Math.abs ( y2 - y1 );

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    private final Stimulus createStimulus ( )
    ////////////////////////////////////////////////////////////////////////
    {
      final SimulatorParser simulatorParser = createSimulatorParser 
          ( SIZE , SIZE , 1 , 1 );
      final Stimulus stimulus = new Stimulus (
          MODEL_FACTORY,
          simulatorParser,
          1e-10, // strength
          0, // type
          0, // on time

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Related Classes of cnslab.cnsnetwork.Stimulus

cnslab.image.imageIO

edu.jhu.mb.ernst.model.Synapse

edu.jhu.mb.ernst.test.ErnstSimulatorParserTest

edu.jhu.mb.ernst.test.ErnstStimulusTest

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