Package ca.nengo.model

Examples of ca.nengo.model.Network.addNode()

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    network.addNode(input);
   
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
   
    NEFEnsemble integrator = ef.make("integrator", 500, 1, "integrator1", true); 
    network.addNode(integrator);
    integrator.collectSpikes(true);

    Plotter.plot(integrator);
    Plotter.plot(integrator, NEFEnsemble.X);
   
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      for(int i=0; i<funcs.length; ++i) {
        funcs[i] = new PostfixFunction("sin(x0)^"+(i+1), 1);
      }
      String name = "functions of time";
      FunctionInput fi = new FunctionInput(name, funcs, Units.uAcm2);
      network.addNode(fi);
     
      //we can add a probe to it and run the simulator ...
      Probe p = network.getSimulator().addProbe(name, FunctionInput.STATE_NAME, true);     
      network.run(0, 10);
     
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      Network network = new NetworkImpl();
     
      NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
      final NEFEnsemble ensemble = ef.make("ensemble", 200, 1);
      ensemble.collectSpikes(true);
      network.addNode(ensemble);
     
      FunctionInput input = new FunctionInput("input", new Function[]{new ConstantFunction(1, 1)}, Units.UNK);
      network.addNode(input);
     
      network.run(0, 1);
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      final NEFEnsemble ensemble = ef.make("ensemble", 200, 1);
      ensemble.collectSpikes(true);
      network.addNode(ensemble);
     
      FunctionInput input = new FunctionInput("input", new Function[]{new ConstantFunction(1, 1)}, Units.UNK);
      network.addNode(input);
     
      network.run(0, 1);
     
      Environment.setUserInterface(true);
      Memory.report("Before plots");
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    };
    FunctionInput input = new FunctionInput("input", new Function[]{f}, Units.UNK);
//    FunctionInput zero = new FunctionInput("zero", new Function[]{new ConstantFunction(1, 0f)}, Units.UNK);
   
    Network network = new NetworkImpl();
    network.addNode(input);
    network.addNode(source);
    network.addNode(dest);

    source.addDecodedTermination("input", MU.I(1), .005f, false); //OK
    BiasOrigin bo = source.addBiasOrigin(source.getOrigin(NEFEnsemble.X), 200, "interneurons", true); //should have -ve bias decoders
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    FunctionInput input = new FunctionInput("input", new Function[]{f}, Units.UNK);
//    FunctionInput zero = new FunctionInput("zero", new Function[]{new ConstantFunction(1, 0f)}, Units.UNK);
   
    Network network = new NetworkImpl();
    network.addNode(input);
    network.addNode(source);
    network.addNode(dest);

    source.addDecodedTermination("input", MU.I(1), .005f, false); //OK
    BiasOrigin bo = source.addBiasOrigin(source.getOrigin(NEFEnsemble.X), 200, "interneurons", true); //should have -ve bias decoders
    network.addNode(bo.getInterneurons()); //should be backwards response functions
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//    FunctionInput zero = new FunctionInput("zero", new Function[]{new ConstantFunction(1, 0f)}, Units.UNK);
   
    Network network = new NetworkImpl();
    network.addNode(input);
    network.addNode(source);
    network.addNode(dest);

    source.addDecodedTermination("input", MU.I(1), .005f, false); //OK
    BiasOrigin bo = source.addBiasOrigin(source.getOrigin(NEFEnsemble.X), 200, "interneurons", true); //should have -ve bias decoders
    network.addNode(bo.getInterneurons()); //should be backwards response functions
//**    bo.getInterneurons().addDecodedTermination("source", MU.I(1), .005f, false);
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    network.addNode(source);
    network.addNode(dest);

    source.addDecodedTermination("input", MU.I(1), .005f, false); //OK
    BiasOrigin bo = source.addBiasOrigin(source.getOrigin(NEFEnsemble.X), 200, "interneurons", true); //should have -ve bias decoders
    network.addNode(bo.getInterneurons()); //should be backwards response functions
//**    bo.getInterneurons().addDecodedTermination("source", MU.I(1), .005f, false);
   
//    Plotter.plot(bo.getInterneurons());
//    Plotter.plot(bo.getInterneurons(), NEFEnsemble.X);
   
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        return from[0] - 1;
      }
    };
   
    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);
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    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);
//    DecodedTermination baseTermination = (DecodedTermination) post.addDecodedTermination("pre", MU.I(1), tauPSC, false);
    network.addNode(post);
   
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