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).

            network.addNode(ensemble);


            FunctionInput input = new FunctionInput("input", new Function[]{new PiecewiseConstantFunction(new float[]{0.2f}, new float[]{0, 0.5f})}, Units.UNK);
            network.addNode(input);


            network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), ensemble.getTermination("input"));


//          Probe vProbe = network.getSimulator().addProbe("ensemble", 0, "V", true);
//          Probe nProbe = network.getSimulator().addProbe("ensemble", 0, "N", true);
//          Probe iProbe = network.getSimulator().addProbe("ensemble", 0, "I", true);
            Probe rProbe = network.getSimulator().addProbe("ensemble", "rate", true);

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    FunctionInput input = new FunctionInput("input", new Function[]{new ConstantFunction(1, I)}, Units.UNK);
    
    Network network = new NetworkImpl();
    network.addNode(input);
    network.addNode(neuron);
    network.addProjection(input.getOrigin(FunctionInput.ORIGIN_NAME), t);
    
    Probe v = network.getSimulator().addProbe("neuron", IzhikevichSpikeGenerator.V, true);
    Probe u = network.getSimulator().addProbe("neuron", IzhikevichSpikeGenerator.U, true);
    
    network.run(0, 1);

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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);

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    // 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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