Examples of IzhikevichSpikeGenerator

ca.nengo.model.neuron.impl.IzhikevichSpikeGenerator

From Izhikevich, 2003, the model is:
v' = 0.04v*v + 5v + 140 - u + I
u' = a(bv - u)

If v >= 30 mV, then v := c and u := u + d (reset after spike)

v represents the membrane potential; u is a membrane recovery variable; a, b, c, and d are modifiable parameters
@author Hussein, Bryan

Examples of ca.nengo.model.neuron.impl.IzhikevichSpikeGenerator

  }


  public void testSetPreset() {
    float tolerance = 1e-10f;
    
    IzhikevichSpikeGenerator sg = new IzhikevichSpikeGenerator(IzhikevichSpikeGenerator.Preset.DEFAULT);
    TestUtil.assertClose(.02f, sg.getA(), tolerance);
    TestUtil.assertClose(.2f, sg.getB(), tolerance);
    TestUtil.assertClose(-65f, sg.getC(), tolerance);
    TestUtil.assertClose(2f, sg.getD(), tolerance);
    
    sg.setPreset(IzhikevichSpikeGenerator.Preset.CHATTERING);
    TestUtil.assertClose(-50f, sg.getC(), tolerance);


    sg.setPreset(IzhikevichSpikeGenerator.Preset.RESONATOR);
    TestUtil.assertClose(.1f, sg.getA(), tolerance);  
    TestUtil.assertClose(.26f, sg.getB(), tolerance);
    TestUtil.assertClose(-65f, sg.getC(), tolerance);
    
    sg.setA(.05f);
    assertTrue(sg.getPreset() == IzhikevichSpikeGenerator.Preset.CUSTOM);
    TestUtil.assertClose(.05f, sg.getA(), tolerance);  
  }

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Examples of ca.nengo.model.neuron.impl.IzhikevichSpikeGenerator

    TestUtil.assertClose(.05f, sg.getA(), tolerance);  
  }


  public void testRun() {
    //we will compare spike times against results from matlab
    IzhikevichSpikeGenerator rs = new IzhikevichSpikeGenerator(IzhikevichSpikeGenerator.Preset.REGULAR_SPIKING);    
    IzhikevichSpikeGenerator fs = new IzhikevichSpikeGenerator(IzhikevichSpikeGenerator.Preset.FAST_SPIKING);
    
    float I = 5;
    List<Integer> firings1 = new ArrayList<Integer>(10); 
    List<Integer> firings2 = new ArrayList<Integer>(10); 
    for (int i = 0; i < 1000; i++) {
      SpikeOutput o1 = (SpikeOutput) rs.run(new float[]{i/1000f, (i+1)/1000f}, new float[]{I, I});
      if (o1.getValues()[0]) firings1.add(Integer.valueOf(i));
      
      SpikeOutput o2 = (SpikeOutput) fs.run(new float[]{i/1000f, (i+1)/1000f}, new float[]{I, I});
      if (o2.getValues()[0]) firings2.add(Integer.valueOf(i));
    }
    
    assertEquals(10, firings1.size());
    assertEquals(33, firings2.size());

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Examples of ca.nengo.model.neuron.impl.IzhikevichSpikeGenerator

   */
  public static void main(String[] args) throws StructuralException, SimulationException {
    float I = 4;
    
    LinearSynapticIntegrator integrator = new LinearSynapticIntegrator();
    IzhikevichSpikeGenerator generator = new IzhikevichSpikeGenerator(IzhikevichSpikeGenerator.Preset.REGULAR_SPIKING);
    ExpandableSpikingNeuron neuron = new ExpandableSpikingNeuron(integrator, generator, 1, 0, "neuron");    
    Termination t = neuron.addTermination("input", MU.I(1), .001f, false);
    
    FunctionInput input = new FunctionInput("input", new Function[]{new ConstantFunction(1, I)}, Units.UNK);

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