Examples of ca.nengo.model.Termination

ca.nengo.model.Termination

A destination for information in a circuit model. A Termination is normally associated with a neural Ensemble or an individual Neuron, although other terminations could be modelled (eg muscles).

Terminations onto neural Ensembles can be modelled in two ways. First, a Termination can model a set of axons that end at an Ensemble. In this case the dimension of the Termination equals the number of axons. Associated with each Neuron in the Ensemble will be synaptic weights (possibly zero) corresponding to each axon (i.e. each dimension of the Termination).

Alternatively, in a connection between two NEFEnsembles, a termination may have a smaller number of dimensions that summarize activity in all the axons. In this case, each dimension of the termination corresponds to a dimension of a represented vector or function. Synaptic weights are not stored anywhere explicitly. Synaptic weights are instead decomposed into decoding vectors, a transformation matrix, and encoding vectors. The decoding vectors are associated with the sending Ensemble. The encoding vectors are associated with the receiving ensemble. The transformation matrix is a property of the projection, but it happens that we keep it with the receiving Ensemble, for various reasons. See Eliasmith & Anderson, 2003 for related theory.

Note that in each case, a corresponding Origin and Termination have the same dimensionality, and that this is the dimensionality associated with the Origin. The receiving Ensemble is responsible for the weight matrix in the first case, and for the transformation matrix in the second case, which transform inputs into dimensions that the receiving Ensemble can use.

Note also that the second method is more efficient when the number of neurons in each ensemble is much larger than the number of dimensions in represented variables, as is typical.
TODO: should probably extract properties-related methods into another interface (Configurable?) possibly supporting types @author Bryan Tripp

  }


  public void testAdaptation() throws StructuralException, SimulationException {
    NetworkImpl network = new NetworkImpl();
    LinearSynapticIntegrator integrator = new LinearSynapticIntegrator(.001f, Units.ACU);
    Termination t = integrator.addTermination("input", new float[]{1}, .005f, false);
    ALIFSpikeGenerator generator = new ALIFSpikeGenerator(.0005f, .02f, .2f, .05f);
    SpikingNeuron neuron = new SpikingNeuron(integrator, generator, 2, 5, "neuron");
    network.addNode(neuron);


    Function f = new PiecewiseConstantFunction(new float[]{1, 2}, new float[]{0, 1, -1});

View Full Code Here

        originNodeFullName.append(tempOrigin.getNode().getName() + ".");
        tempOrigin = ((OriginWrapper) tempOrigin).getWrappedOrigin();
      }
      
      StringBuilder terminationNodeFullName = new StringBuilder();
      Termination tempTermination = myTermination;


      while(tempTermination instanceof TerminationWrapper)
      {
        terminationNodeFullName.append(tempTermination.getNode().getName() + ".");
        tempTermination = ((TerminationWrapper) tempTermination).getWrappedTermination();
      }
      
      DecodedTermination dTermination; 
      StringBuilder transformString = new StringBuilder();
      
      transformString.append('[');
      if(tempTermination instanceof DecodedTermination)
      {
        dTermination = (DecodedTermination) tempTermination;
        transformString.append(getTransformScript(dTermination, "transform = ".length()));
        terminationNodeFullName.append(tempTermination.getNode().getName());
      }
      else if(tempTermination instanceof EnsembleTermination && 
          tempTermination.getNode() instanceof NetworkArrayImpl)
      {
        terminationNodeFullName.deleteCharAt(terminationNodeFullName.length()-1);
        
        boolean first = true;
        for(Node node : tempTermination.getNode().getChildren())
        {
          if(first)
          {
            first = false;
          }else {
            transformString.append(",\n" + new String(new char["transform = ".length() + 1]).replace("\0", " "));
          }
          
          // this relies on the decoded terminations in the child nodes having the 
          // same name as the ensemble termination that contains them
          try{
            dTermination = (DecodedTermination) node.getTermination(tempTermination.getName());
          }catch(Exception e){
            dTermination = null;
          }
          
          transformString.append(getTransformScript(dTermination, "transform = ".length() + 1));

View Full Code Here

   * Test method for 'ca.bpt.cn.model.impl.NetworkImpl.getProjections()'
   */
  public void testGetProjections() throws StructuralException {
    Origin o1 = new ProjectionImplTest.MockOrigin("o1", 1);
    Origin o2 = new ProjectionImplTest.MockOrigin("o2", 1);
    Termination t1 = new ProjectionImplTest.MockTermination("t1", 1);
    Termination t2 = new ProjectionImplTest.MockTermination("t2", 1);
    Termination t3 = new ProjectionImplTest.MockTermination("t3", 2);


    myNetwork.addProjection(o1, t1);
    myNetwork.addProjection(o1, t2);


    assertEquals(2, myNetwork.getProjections().length);

View Full Code Here

    float I = 4;
    
    LinearSynapticIntegrator integrator = new LinearSynapticIntegrator();
    IzhikevichSpikeGenerator generator = new IzhikevichSpikeGenerator(IzhikevichSpikeGenerator.Preset.REGULAR_SPIKING);
    ExpandableSpikingNeuron neuron = new ExpandableSpikingNeuron(integrator, generator, 1, 0, "neuron");    
    Termination t = neuron.addTermination("input", MU.I(1), .001f, false);
    
    FunctionInput input = new FunctionInput("input", new Function[]{new ConstantFunction(1, I)}, Units.UNK);
    
    Network network = new NetworkImpl();
    network.addNode(input);

View Full Code Here

     * @throws StructuralException if named Termination does not exist
     * @see ca.nengo.model.ExpandableNode#removeTermination(java.lang.String)
     */
    public synchronized Termination removeTermination(String name) throws StructuralException {
        if (myTerminations.containsKey(name)) {
            Termination result = myTerminations.remove(name);


            fireVisibleChangeEvent();
            return result;
        }

View Full Code Here


    int count=0;
    for(int i=0; i < myNumNodes; i++) {
      for(int j=0; j < index.length; j++) {
        if(index[j] == i) {
          Termination t = myNodes[i].addTermination(name, MU.copy(matrix,count*myNodes[i].getNeurons(),0,myNodes[i].getNeurons(),-1),
              tauPSC, isModulatory);
          count++;
          terminations.add(t);
          break;
        }

View Full Code Here

      for (Origin exposedOrigin : getOrigins()) {
        Origin clonedOrigin = ((OriginWrapper) exposedOrigin).getBaseOrigin().clone(result);
        result.exposeOrigin(clonedOrigin, exposedOrigin.getName());
      }
      for (Termination exposedTermination : getTerminations()) {
        Termination clonedTermination = ((TerminationWrapper) exposedTermination).getBaseTermination().clone(result);
        result.exposeTermination(clonedTermination, exposedTermination.getName());
      }
      
      return result;
    }

View Full Code Here

   * @see ca.nengo.model.ExpandableNode#removeTermination(java.lang.String)
   */
  @Override
    public synchronized Termination removeTermination(String name) throws StructuralException {
    if (myExpandedTerminations.containsKey(name)) {
        Termination result = myExpandedTerminations.remove(name);
      for (ExpandableNode myExpandableNode : myExpandableNodes) {
        myExpandableNode.removeTermination(name);
      }


      fireVisibleChangeEvent();

View Full Code Here


    // uiViewer.addNeoNode(uiInput);


    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    NEFEnsemble integrator = ef.make("integrator", 500, 1, "integrator1", false);
    Termination interm = integrator.addDecodedTermination("input",
        new float[][] { new float[] { tau } }, tau, false);
    Termination fbterm = integrator.addDecodedTermination("feedback",
        new float[][] { new float[] { 1f } }, tau, false);


    network.addNode(integrator);
    Thread.sleep(1000);
    network.addNode(input);

View Full Code Here

    // uiViewer.addNeoNode(uiInput);


    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    NEFEnsemble integrator = ef.make("integrator", 500, 1, "integrator1",
        false);
    Termination interm = integrator.addDecodedTermination("input",
        new float[][] { new float[] { tau } }, tau, false);
    Termination fbterm = integrator.addDecodedTermination("feedback",
        new float[][] { new float[] { 1f } }, tau, false);


    network.addNode(integrator);
    Thread.sleep(1000);
    network.addNode(input);

View Full Code Here

0 1 2

TOP

Related Classes of ca.nengo.model.Termination

ca.nengo.examples.IntegratorExample

ca.nengo.math.impl.MultiLevelKLNetworkPartitioner

ca.nengo.model.impl.AbstractEnsemble

ca.nengo.model.impl.EnsembleImpl

ca.nengo.model.impl.EnsembleImplTest$MockExpandableNode

ca.nengo.model.impl.NetworkArrayImpl

ca.nengo.model.impl.NetworkImpl

ca.nengo.model.impl.NetworkImplTest

ca.nengo.model.impl.ProjectionImpl

ca.nengo.model.neuron.impl.ALIFSpikeGeneratorTest

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.