Examples of ca.nengo.model.nef.NEFEnsembleFactory.make()

Class ca.nengo.model.nef.NEFEnsembleFactory

Examples of ca.nengo.model.nef.NEFEnsembleFactory.make()

ca.nengo.model.nef.NEFEnsembleFactory.make()
@param name Name of the NEFEnsemble @param n Number of neurons in the ensemble @param dim Dimension of the ensemble. @return NEFEnsemble containing Neurons generated with the default NeuronFactory @throws StructuralException if there is any error attempting to create the ensemble


  public void functionalTestAddBiasOrigin() throws StructuralException, SimulationException {
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    boolean regenerate = false;
    NEFEnsemble source = ef.make("source", 300, 1, "nefeTest_source", regenerate);
    NEFEnsemble dest = ef.make("dest", 300, 1, "nefeTest_dest", regenerate);
    
    Function f = new AbstractFunction(1) {
      private static final long serialVersionUID = 1L;
      public float map(float[] from) {

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  public void functionalTestAddBiasOrigin() throws StructuralException, SimulationException {
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    boolean regenerate = false;
    NEFEnsemble source = ef.make("source", 300, 1, "nefeTest_source", regenerate);
    NEFEnsemble dest = ef.make("dest", 300, 1, "nefeTest_dest", regenerate);
    
    Function f = new AbstractFunction(1) {
      private static final long serialVersionUID = 1L;
      public float map(float[] from) {
        return from[0] - 1;

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    FunctionInput input = new FunctionInput("input", new Function[]{f}, Units.UNK);
    network.addNode(input);
    
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    NEFEnsemble pre = ef.make("pre", 400, 1, "nefe_pre", false);
    pre.addDecodedTermination("input", MU.I(1), tauPSC, false);
//    DecodedOrigin baseOrigin = (DecodedOrigin) pre.getOrigin(NEFEnsemble.X);
    network.addNode(pre);
    
    NEFEnsemble post = ef.make("post", 200, 1, "nefe_post", false);

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    NEFEnsemble pre = ef.make("pre", 400, 1, "nefe_pre", false);
    pre.addDecodedTermination("input", MU.I(1), tauPSC, false);
//    DecodedOrigin baseOrigin = (DecodedOrigin) pre.getOrigin(NEFEnsemble.X);
    network.addNode(pre);
    
    NEFEnsemble post = ef.make("post", 200, 1, "nefe_post", false);
//    DecodedTermination baseTermination = (DecodedTermination) post.addDecodedTermination("pre", MU.I(1), tauPSC, false);
    network.addNode(post);
    
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), pre.getTermination("input"));
    Projection projection = network.addProjection(pre.getOrigin(NEFEnsemble.X), post.getTermination("pre"));

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//    return biasEncoders;
//  }
  
  public void testClone() throws StructuralException, CloneNotSupportedException {
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    NEFEnsemble ensemble = ef.make("test", 100, 1);
    long startTime = System.currentTimeMillis();
    ensemble.clone();
    System.out.println(System.currentTimeMillis() - startTime);
  }

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   * Test method for {@link ca.nengo.model.nef.impl.NEFUtil#getOutput(ca.nengo.model.nef.impl.DecodedOrigin, float[][], ca.nengo.model.SimulationMode)}.
   * @throws StructuralException 
   */
  public void testGetOutput() throws StructuralException {
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    NEFEnsemble ensemble = ef.make("test", 70, new float[]{1, 1, 1});
    DecodedOrigin origin = (DecodedOrigin) ensemble.addDecodedOrigin("test", 
        new Function[]{new PostfixFunction("x1", 3), new PostfixFunction("x2", 3)}, Neuron.AXON);
    
    float[][] input = MU.uniform(500, 3, 1);
    float[][] directOutput = NEFUtil.getOutput(origin, input, SimulationMode.DIRECT);

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        new ConstantFunction(1, .3f) };
    FunctionInput in = new FunctionInput("input", functions, Units.UNK);


    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    NEFEnsemble A = ef.make("A", 100, 1, "A", false);
    NEFEnsemble B = ef.make("B", 100, 1, "B", false);
    NEFEnsemble C = ef.make("C", 100, 1, "C", false);
    NEFEnsemble D = ef.make("D", 100, 1, "D", false);


    NEFEnsemble rule1a = ef.make("rule1a", 500, 2, "rule1a", false);

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    FunctionInput in = new FunctionInput("input", functions, Units.UNK);


    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    NEFEnsemble A = ef.make("A", 100, 1, "A", false);
    NEFEnsemble B = ef.make("B", 100, 1, "B", false);
    NEFEnsemble C = ef.make("C", 100, 1, "C", false);
    NEFEnsemble D = ef.make("D", 100, 1, "D", false);


    NEFEnsemble rule1a = ef.make("rule1a", 500, 2, "rule1a", false);
    NEFEnsemble rule1b = ef.make("rule1b", 500, 2, "rule1b", false);

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    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    NEFEnsemble A = ef.make("A", 100, 1, "A", false);
    NEFEnsemble B = ef.make("B", 100, 1, "B", false);
    NEFEnsemble C = ef.make("C", 100, 1, "C", false);
    NEFEnsemble D = ef.make("D", 100, 1, "D", false);


    NEFEnsemble rule1a = ef.make("rule1a", 500, 2, "rule1a", false);
    NEFEnsemble rule1b = ef.make("rule1b", 500, 2, "rule1b", false);
    NEFEnsemble rule2 = ef.make("rule2", 200, 1, "rule2", false);

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    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();


    NEFEnsemble A = ef.make("A", 100, 1, "A", false);
    NEFEnsemble B = ef.make("B", 100, 1, "B", false);
    NEFEnsemble C = ef.make("C", 100, 1, "C", false);
    NEFEnsemble D = ef.make("D", 100, 1, "D", false);


    NEFEnsemble rule1a = ef.make("rule1a", 500, 2, "rule1a", false);
    NEFEnsemble rule1b = ef.make("rule1b", 500, 2, "rule1b", false);
    NEFEnsemble rule2 = ef.make("rule2", 200, 1, "rule2", false);
    rule2.collectSpikes(true);

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