Examples of ca.nengo.model.neuron.SpikeGenerator

ca.nengo.model.neuron.SpikeGenerator
Spike generation model, ie a component of a neuron model that receives driving current and generates spikes. @author Bryan Tripp

    /**
     * @see ca.nengo.model.impl.NodeFactory#make(java.lang.String)
     */
    public Node make(String name) throws StructuralException {
      LinearSynapticIntegrator integrator = new LinearSynapticIntegrator(.001f, Units.ACU);
      SpikeGenerator sg = new HodgkinHuxleySpikeGenerator();
      return new ExpandableSpikingNeuron(integrator, sg, 10, 0, name);
    }

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    /**
     * @see ca.nengo.model.impl.NodeFactory#make(java.lang.String)
     */
    public Node make(String name) throws StructuralException {
        SynapticIntegrator integrator = myIntegratorFactory.make();
        SpikeGenerator generator = myGeneratorFactory.make();
        float scale = myScale.sample()[0];
        float bias = myBias.sample()[0];


        Node result = null;

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         * @param name Name of the node in ensemble
         */
        public Node make(String name) throws StructuralException {


            SynapticIntegrator integrator = new LinearSynapticIntegrator(ourMaxTimeStep, ourCurrentUnits);
            SpikeGenerator generator = pf.make();
            float scale;//a new scale is created every time a dendrite is to be made


            scale = r.nextFloat() + r.nextInt(this.range);

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    /**
     * @see ca.nengo.model.impl.NodeFactory#make(java.lang.String)
     */
    public Node make(String name) throws StructuralException {
      SynapticIntegrator integrator = new LinearSynapticIntegrator(ourMaxTimeStep, ourCurrentUnits);
      SpikeGenerator generator = mySpikeGeneratorFactory.make();
      return new ExpandableSpikingNeuron(integrator, generator, 1, 0, name);
    }

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    /**
     * @see ca.nengo.model.impl.NodeFactory#make(java.lang.String)
     */
    public Neuron make(String name) throws StructuralException {
      SynapticIntegrator integrator = new LinearSynapticIntegrator(ourMaxTimeStep, ourCurrentUnits);
      SpikeGenerator generator = mySigmoidFactory.make();
      return new ExpandableSpikingNeuron(integrator, generator, 1, 0, name);
    }

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    float scale = (x - 1f) / (1f - intercept);
    
    float bias = 1f - scale * intercept;
    
    SynapticIntegrator integrator = new LinearSynapticIntegrator(ourMaxTimeStep, ourCurrentUnits);
    SpikeGenerator generator = new ALIFSpikeGenerator(myTauRef, myTauRC, myTauN, myIncN.sample()[0]);
    
    return new ExpandableSpikingNeuron(integrator, generator, scale, bias, name);    
  }

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    float scale = (x - 1f) / (1f - intercept);
    
    float bias = 1f - scale * intercept;
    
    SynapticIntegrator integrator = new LinearSynapticIntegrator(ourMaxTimeStep, ourCurrentUnits);
    SpikeGenerator generator = new LIFSpikeGenerator(ourMaxTimeStep, myTauRC, myTauRef);
    
    return new ExpandableSpikingNeuron(integrator, generator, scale, bias, name);    
  }

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Related Classes of ca.nengo.model.neuron.SpikeGenerator

ca.nengo.model.neuron.impl.ALIFNeuronFactory

ca.nengo.model.neuron.impl.HodgkinHuxleySpikeGenerator$HodgkinHuxleyNeuronFactory

ca.nengo.model.neuron.impl.LIFNeuronFactory

ca.nengo.model.neuron.impl.PoissonSpikeGenerator$LinearNeuronFactory

ca.nengo.model.neuron.impl.PoissonSpikeGenerator$SigmoidNeuronFactory

ca.nengo.model.neuron.impl.PyramidalNetwork$PoiraziDendriteFactory

ca.nengo.model.neuron.impl.SpikingNeuronFactory

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