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

ca.nengo.model.Network.addProjection()
Connects an Origin to a Termination. Origins and Terminations belong to Ensembles (or ExternalInputs). Both the Origin and Termination must be set up before calling this method. The way to do this will depend on the Ensemble. @param origin Origin (data source) of Projection. @param termination Termination (data destination) of Projection. @return The created Projection @throws StructuralException if the given Origin and Termination have different dimensions,or if there is already an Origin connected to the given Termination (note that an Origin can project to multiple Terminations though).

    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    int n = 300;
    NEFEnsemble pre = ef.make("pre", n, 2);
    pre.addDecodedTermination("input", MU.uniform(2, 1, 1), .005f, false);
    network.addNode(pre);
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), pre.getTermination("input"));
    NEFEnsemble post = ef.make("post", n, 2);
    network.addNode(post);
    post.addDecodedTermination("input", MU.I(2), .01f, false);
    Projection p = network.addProjection(pre.getOrigin(NEFEnsemble.X), post.getTermination("input"));

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    network.addNode(pre);
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), pre.getTermination("input"));
    NEFEnsemble post = ef.make("post", n, 2);
    network.addNode(post);
    post.addDecodedTermination("input", MU.I(2), .01f, false);
    Projection p = network.addProjection(pre.getOrigin(NEFEnsemble.X), post.getTermination("input"));


    DecodedOrigin o = (DecodedOrigin) pre.getOrigin(NEFEnsemble.X);
    DecodedTermination t = (DecodedTermination) post.getTermination("input");
    float[][] directWeights = MU.prod(post.getEncoders(), MU.prod(t.getTransform(), MU.transpose(o.getDecoders())));
    System.out.println("Direct weights: " + MU.min(directWeights) + " to " + MU.max(directWeights));

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    NEFEnsemble ensemble = ef.make("ensemble", 100, 1);
    ensemble.addDecodedTermination("input", MU.I(1), .005f, false);
    ensemble.collectSpikes(true);
    network.addNode(ensemble);
    
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), ensemble.getTermination("input"));
    network.run(0, 2);
    
    SpikePattern unsorted = ensemble.getSpikePattern();
    SpikePattern sorted = DataUtils.sort(unsorted, ensemble);

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            Network network = new NetworkImpl();
            network.addNode(ensemble);
            FunctionInput input = new FunctionInput("input", new Function[]{new SineFunction(3)}, Units.UNK);
            network.addNode(input);
            network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), ensemble.getTermination("input"));


            network.setMode(SimulationMode.RATE);
            Probe rates = network.getSimulator().addProbe("test", "rate", true);
            network.run(0, 2);
            //          Plotter.plot(rates.getData(), .05f, "rates");

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    float tau = .05f; 
    
    Termination interm = integrator.addDecodedTermination("input", new float[][]{new float[]{tau}}, tau, false);
//    Termination interm = integrator.addDecodedTermination("input", new float[][]{new float[]{1f}}, tau);
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), interm);
    
    Termination fbterm = integrator.addDecodedTermination("feedback", new float[][]{new float[]{1f}}, tau, false);
    network.addProjection(integrator.getOrigin(NEFEnsemble.X), fbterm);
    
    //System.out.println("Network creation: " + (System.currentTimeMillis() - start));

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    Termination interm = integrator.addDecodedTermination("input", new float[][]{new float[]{tau}}, tau, false);
//    Termination interm = integrator.addDecodedTermination("input", new float[][]{new float[]{1f}}, tau);
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), interm);
    
    Termination fbterm = integrator.addDecodedTermination("feedback", new float[][]{new float[]{1f}}, tau, false);
    network.addProjection(integrator.getOrigin(NEFEnsemble.X), fbterm);
    
    //System.out.println("Network creation: " + (System.currentTimeMillis() - start));
    return network;
  }

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//    Plotter.plot(biasedWeights[0], "some biased weights");
//    Plotter.plot(weights[1], "some more weights");
    
//    Plotter.plot(bt[0].getBiasEncoders(), "bias decoders");
    
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), source.getTermination("input"));
    network.addProjection(source.getOrigin(NEFEnsemble.X), dest.getTermination("source"));
//*    network.addProjection(bo, bo.getInterneurons().getTermination("source"));
//*    network.addProjection(bo, bt[0]);
//*    network.addProjection(bo.getInterneurons().getOrigin(NEFEnsemble.X), bt[1]);
//    network.addProjection(zero.getOrigin(FunctionInput.ORIGIN_NAME), bt[1]);

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//    Plotter.plot(weights[1], "some more weights");
    
//    Plotter.plot(bt[0].getBiasEncoders(), "bias decoders");
    
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), source.getTermination("input"));
    network.addProjection(source.getOrigin(NEFEnsemble.X), dest.getTermination("source"));
//*    network.addProjection(bo, bo.getInterneurons().getTermination("source"));
//*    network.addProjection(bo, bt[0]);
//*    network.addProjection(bo.getInterneurons().getOrigin(NEFEnsemble.X), bt[1]);
//    network.addProjection(zero.getOrigin(FunctionInput.ORIGIN_NAME), bt[1]);

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    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"));
    
    Probe pPost = network.getSimulator().addProbe("post", NEFEnsemble.X, true);
    network.run(0, 2);
    TimeSeries ideal = pPost.getData();

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    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"));
    
    Probe pPost = network.getSimulator().addProbe("post", NEFEnsemble.X, true);
    network.run(0, 2);
    TimeSeries ideal = pPost.getData();
    Plotter.plot(pPost.getData(), .005f, "mixed weights result");

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