Examples of collectSpikes()

Examples of ca.nengo.model.impl.EnsembleImpl.collectSpikes()

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                neurons[i] = factory.make("neuron"+i);
                weights[i] = new float[]{1};
            }
            EnsembleImpl ensemble = new EnsembleImpl("ensemble", neurons);
            ensemble.addTermination("input", weights, .005f, false);
            ensemble.collectSpikes(true);
            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);
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Examples of ca.nengo.model.nef.NEFEnsemble.collectSpikes()

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    network.addNode(input);
   
    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();
    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);
   
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Examples of ca.nengo.model.nef.NEFEnsemble.collectSpikes()

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    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);
   
    float tau = .05f;
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Examples of ca.nengo.model.nef.NEFEnsemble.collectSpikes()

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    try {
      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);
     
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Examples of ca.nengo.model.nef.NEFEnsemble.collectSpikes()

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    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) },
        Neuron.AXON);
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Examples of ca.nengo.model.nef.NEFEnsemble.collectSpikes()

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    NEFEnsembleFactory ef = new NEFEnsembleFactoryImpl();

    NEFEnsemble integrator = ef.make("integrator", 500, 1, "integrator1", false);
    network.addNode(integrator);
    integrator.collectSpikes(true);

    // Plotter.plot(integrator);
    // Plotter.plot(integrator, NEFEnsemble.X);

    float tau = .05f;
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