Examples of ca.nengo.model.InstantaneousOutput

ca.nengo.model.InstantaneousOutput

An output from an Origin at an instant in time. This is the medium we use to pass information around a neural circuit.

Note that an Ensemble or Neuron may have multiple Origins and can therefore produce multiple outputs simultaneously. For example, one Origin of an Ensemble might produce spiking outputs, another the decoded estimates of variables it represents, and others decoded functions of these variables.

Note that the methods for getting output values from an InstantaneousOuput are not defined here, but on subinterfaces.
@author Bryan Tripp

    super.constructTooltips(tooltips);


    tooltips.addProperty("Dimensions", "" + getModel().getDimensions());


    try {
      InstantaneousOutput value = getModel().getValues();


      tooltips.addProperty("Time: ", "" + value.getTime());
      tooltips.addProperty("Units: ", "" + value.getUnits());


    } catch (SimulationException e) {
    }


  }

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   *     the same units, and must output the same type of InstantaneousOuput (ie 
   *     either SpikeOutput or RealOutput), otherwise an exception is thrown.   
   * @see ca.nengo.model.Origin#getValues()
   */
  public InstantaneousOutput getValues() throws SimulationException {
    InstantaneousOutput result = null;
    
    Units units = myNodeOrigins[0].getValues().getUnits(); //must be same for all
    
    if (myNodeOrigins[0].getValues() instanceof RealOutput) {
      result = composeRealOutput(myNodeOrigins, units);

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  private static RealOutput composeRealOutput(Origin[] origins, Units units) throws SimulationException {
    float[] values = new float[origins.length];
    
    for (int i = 0; i < origins.length; i++) {
      InstantaneousOutput o = origins[i].getValues();
      if ( !(o instanceof RealOutput) ) {
        throw new SimulationException("Some of the Node Origins are not producing real-valued output");
      }
      if ( !o.getUnits().equals(units) ) {
        throw new SimulationException("Some of the Node Origins are producing outputs with non-matching units");
      }
      
      values[i] = ((RealOutput) o).getValues()[0];
    }

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  private static SpikeOutput composeSpikeOutput(Origin[] origins, Units units) throws SimulationException {
    boolean[] values = new boolean[origins.length];
    
    for (int i = 0; i < origins.length; i++) {
      InstantaneousOutput o = origins[i].getValues();
      if ( !(o instanceof SpikeOutput) ) {
        throw new SimulationException("Some of the Node Origins are not producing spiking output");
      }
      if ( !o.getUnits().equals(units) ) {
        throw new SimulationException("Some of the Node Origins are producing outputs with non-matching units");
      }
      
      values[i] = ((SpikeOutput) o).getValues()[0];
    }

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  private static PreciseSpikeOutput composePreciseSpikeOutput(Origin[] origins, Units units) throws SimulationException {
    float[] values = new float[origins.length];
    
    for (int i = 0; i < origins.length; i++) {
      InstantaneousOutput o = origins[i].getValues();
      if ( !(o instanceof PreciseSpikeOutput) ) {
        throw new SimulationException("Some of the Node Origins are not producing precise spiking output");
      }
      if ( !o.getUnits().equals(units) ) {
        throw new SimulationException("Some of the Node Origins are producing outputs with non-matching units");
      }
      
      values[i] = ((PreciseSpikeOutput) o).getSpikeTimes()[0];
    }

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  // might have to make these protected?
  protected void runProjections(float startTime, float endTime) throws SimulationException{
    
    for (int i = myStartIndexInProjections; i < myEndIndexInProjections; i++) {
      
      InstantaneousOutput values = myProjections[i].getOrigin().getValues();
      myProjections[i].getTermination().setValues(values);
    }
    
  }

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   */
  public void testGetValues() throws SimulationException {
    myGenerator.setNextOutput(true, 1f);
    
    myOrigin.run(new float[]{0f}, new float[]{0f});
    InstantaneousOutput output = myOrigin.getValues();
    assertTrue(output instanceof SpikeOutput);
    assertEquals(1, output.getDimension());
    assertEquals(Units.SPIKES, output.getUnits());
    assertEquals(1, ((SpikeOutput) output).getValues().length);
    assertEquals(true, ((SpikeOutput) output).getValues()[0]);
    
    myGenerator.setMode(SimulationMode.CONSTANT_RATE);
    
    myOrigin.run(new float[]{0f}, new float[]{0f});
    output = myOrigin.getValues();
    assertTrue(output instanceof RealOutput);
    assertEquals(1, output.getDimension());
    assertEquals(Units.SPIKES_PER_S, output.getUnits());
    assertEquals(1, ((RealOutput) output).getValues().length);
    assertTrue(((RealOutput) output).getValues()[0] > .99f);    
  }

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  /**
   * @see ca.nengo.model.neuron.SpikeGenerator#run(float[], float[])
   */
  public InstantaneousOutput run(float[] time, float[] current) {
    InstantaneousOutput result = null;


    if (myMode.equals(SimulationMode.CONSTANT_RATE) || myMode.equals(SimulationMode.RATE)) {
      result = new RealOutputImpl(new float[]{doConstantRateRun(time[0], current[0])}, Units.SPIKES_PER_S, time[time.length-1]);
    } else if (myMode.equals(SimulationMode.PRECISE)) {
      result = new PreciseSpikeOutputImpl(new float[]{doPreciseSpikingRun(time, current)}, Units.SPIKES, time[time.length-1]);

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        // TODO: Test with spiking outputs?
        float[] values = new float[myDimension];
        Iterator<PassthroughTermination> it = myTerminations.values().iterator();
        while (it.hasNext()) {
          PassthroughTermination termination = it.next();
          InstantaneousOutput io = termination.getValues();
          if (io instanceof RealOutput) {
            values = MU.sum(values, ((RealOutput) io).getValues());
          } else if (io instanceof SpikeOutput) {
            boolean[] spikes = ((SpikeOutput) io).getValues();
            for (int i = 0; i < spikes.length; i++) {
              if (spikes[i]) {
                              values[i] += 1f/(endTime - startTime);
                          }
            }
          } else if (io == null) {
            throw new SimulationException("Null input to Termination " + termination.getName());
          } else {
            throw new SimulationException("Output type unknown: " + io.getClass().getName());
          }
        }
        // Send values over the socket.
        // Datagram format:
        // - bytes 1-4: Timestamp (float)

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    si.addTermination("two", new float[]{1f}, 1f, false);
    si.addTermination("three", new float[]{1f}, 1f, true);


    Termination[] t = si.getTerminations();
    
    InstantaneousOutput spike = new SpikeOutputImpl(new boolean[]{true}, Units.SPIKES, 0);
    
    t[0].setValues(spike);
    t[1].setValues(spike);
    t[2].setValues(spike);

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Related Classes of ca.nengo.model.InstantaneousOutput

ca.nengo.model.impl.AbstractEnsemble

ca.nengo.model.impl.DelayedLinearExponentialTermination

ca.nengo.model.impl.EnsembleOrigin

ca.nengo.model.impl.NetworkArrayImpl$ArrayOrigin

ca.nengo.model.impl.NetworkArrayImpl$ArraySummedOrigin

ca.nengo.model.impl.PassthroughNode

ca.nengo.model.impl.SocketUDPNode

ca.nengo.model.nef.impl.DecodedOrigin

ca.nengo.model.neuron.impl.ALIFSpikeGenerator

ca.nengo.model.neuron.impl.GruberSpikeGenerator

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