Package ca.nengo.model.nef.impl

Examples of ca.nengo.model.nef.impl.NEFEnsembleFactoryImpl.make()

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      NetworkImpl test1 = new NetworkImpl();
      test1.setName("test1");
      top.addNode(test1);
     
      NEFEnsembleFactoryImpl fac = new NEFEnsembleFactoryImpl();
      NEFEnsembleImpl testens = (NEFEnsembleImpl)fac.make("test", 100, 1);
      testens.addDecodedTermination("input", new float[][]{new float[]{1}}, 0.01f, false);
      test1.addNode(testens);
     
      test1.exposeTermination(testens.getTermination("input"), "in");
     
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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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    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);

    rule1a.addDecodedOrigin("OR", new Function[] { new MAX(2) },
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    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);

    rule1a.addDecodedOrigin("OR", new Function[] { new MAX(2) },
        Neuron.AXON);
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    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);

    rule1a.addDecodedOrigin("OR", new Function[] { new MAX(2) },
        Neuron.AXON);
    rule1b.addDecodedOrigin("AND", new Function[] { new MIN(2) },
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        Neuron.AXON);
    rule1a.doneOrigins();
    rule1b.doneOrigins();
    rule2.doneOrigins();

    NEFEnsemble output = ef.make("output", 500, 5, "fuzzyoutput", false);

    net.addNode(in);
    net.addNode(A);
    net.addNode(B);
    net.addNode(C);
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                this.myRange[i][0] = newR;
                ((PoiraziDendriteFactory)g).changeRange(newR);
            }

            e[i] = f.make("Dendrites" + i, newSize, this.dim);
            e[i].addDecodedTermination("dinput" + i, w , 0.007f, false);

            //if a function is being computed, the radius and encoders are different than they normally would be
            if (this.myConnectedOrigin != "X") {
                ((NEFEnsembleImpl)e[i]).setEncoders(this.setDendriteEncoders(newSize));
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