Examples of Synapse

anvil.brain.Synapse
class Synapse @author : Jani Lehtim�ki
com.greentea.relaxation.jnmf.model.Synapse
Class Synapse represents the synapse - the directed synaptic connection between two neurons.
edu.jhu.mb.ernst.model.Synapse
Accessor interface for the neuron synaptic structure. @version $Date: 2012-04-15 13:41:48 -0500 (Sun, 15 Apr 2012) $ $Rev: 8 $ $Author: croft $ @author Yi Dong @author David Wallace Croft
org.encog.neural.networks.synapse.Synapse
org.joone.engine.Synapse

Examples of edu.jhu.mb.ernst.model.Synapse

      
      assertEquals ( -1, timeOfNextFire0, 0 );
      
      final double  weight = SIFNeuron.maxWeight / 10;
      
      final Synapse  synapse = MODEL_FACTORY.createSynapse (
        0, // to
        ( byte ) 0, // type (0 = excitatory)
        ( float ) weight );
      
      final double  timeOfNextFire1 = neuron.updateInput (

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Examples of edu.jhu.mb.ernst.model.Synapse

      
      assertEquals ( -1, timeOfNextFire0, 0 );
      
      final double  weight = VSICLIFNeuron.maxWeight / 10;   
      
      final Synapse  synapse = MODEL_FACTORY.createSynapse (
        0,   // to
        ( byte ) 0, // type (0 = excitatory)
        ( float ) weight );
      
      final double  timeOfNextFire1 = neuron.updateInput (

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Examples of edu.jhu.mb.ernst.model.Synapse

            {
              final double  inputEventTime
                = -Math.log ( Cnsran.ran2 ( seed ) )
                  / simulatorParser.backgroundFrequency;
              
              final Synapse  synapse = modelFactory.createSynapse (
                base + i,
                ( byte ) simulatorParser.bChannel,
                ( float ) simulatorParser.backgroundStrength );
              
              final PInputEvent  pInputEvent = new PInputEvent (

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Examples of edu.jhu.mb.ernst.model.Synapse

          relativeStrength = relativeStrengthList.get ( i ).doubleValue ( );


        final double
          synapseStrength = relativeStrength * strength; 


        final Synapse  synapse = modelFactory.createSynapse (
          toNeuronIndex,
          ( byte ) type,
          ( float ) synapseStrength );


        final double  time = getNextTime ( onTime );

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Examples of edu.jhu.mb.ernst.model.Synapse

      int ymagratio=0;
      int xborder,yborder;
      int newx=0;
      int newy=0;
      String fromNeur,toNeur;
      Synapse syn;
      TreeSet<Synapse> synapses;
      int[] xy=new int[2];




      if(type==1&&stre>0) // these maynot be useful for new neuronal model

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Examples of edu.jhu.mb.ernst.model.Synapse

      // Update STDP variables.
        
        for ( final Map.Entry<Synapse,TimeWeight>  entry
          : histTable.entrySet ( ) )
        {
          final Synapse  syn = entry.getKey ( );
          
          // Get the relative weight.
          
          final TimeWeight  tw = entry.getValue();


          // Channel 0 has STDP.
          
          if ( syn.getType ( ) == 0 )
          {
            // LTP only for close spikes.
            
            if ( lastFireTime < tw.time )
            {

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Examples of edu.jhu.mb.ernst.model.Synapse

        //Iterator<Synapse,WeightTime> it = histTable.iterator();
        
        for ( final Map.Entry<Synapse,TimeWeight>  entry
          : histTable.entrySet ( ) )
        {
          final Synapse  syn = entry.getKey ( );
          
          // get the relative weight
          
          final TimeWeight  tw = entry.getValue();


          // channel 0 has STDP
          
          if ( syn.getType ( ) == 0 )
          {
            // LTP only for close spikes
            
            if ( lastFireTime < tw.time )
            {

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Examples of org.encog.neural.networks.synapse.Synapse

        int success;
        Layer outputLayer = new BasicLayer(new ActivationSigmoid(), true, 6);
        Layer hiddenLayer1 = new BasicLayer(new ActivationSigmoid(), true, 6);
        Layer inputLayer = new BasicLayer(new ActivationSigmoid(), false, 4);


        Synapse synapse1 = new WeightedSynapse(hiddenLayer1, outputLayer);
        Synapse synapse2 = new WeightedSynapse(inputLayer, hiddenLayer1);


        hiddenLayer1.addSynapse(synapse1);
        inputLayer.addSynapse(synapse2);


        network.tagLayer("INPUT", inputLayer);

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Examples of org.joone.engine.Synapse

    for (int i = 0; i < hiddenLayers; i++) {


      Layer currentLayer = NNLayer.newInstance(layer);
      currentLayer.setRows(hiddenLayerRows);


      Synapse currentSynapse = NNSynapse.newInstance(synapse);


      lastLayer.addOutputSynapse(currentSynapse);
      currentLayer.addInputSynapse(currentSynapse);


      nnLayers.add(currentLayer);
      lastLayer = currentLayer;
    }
    Synapse synapseToOutLayer = NNSynapse.newInstance(synapse);
    lastLayer.addOutputSynapse(synapseToOutLayer);


    LinearLayer outputLayer = new LinearLayer();
    outputLayer.addInputSynapse(synapseToOutLayer);
    outputLayer.setRows(1);

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