Examples of ca.nengo.model.neuron.SynapticIntegrator

ca.nengo.model.neuron.SynapticIntegrator

Model of synaptic integration in a dendritic tree and soma.

The model receives input from external sources (normally other neurons) and produces a net current which can be fed into a SpikeGenerator and/or can produce other outputs of a Neuron. @author Bryan Tripp


    /**
     * @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;

View Full Code Here

         * Makes a "Dendrite" Node
         * @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);

View Full Code Here


    /**
     * @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);
    }

View Full Code Here


    /**
     * @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);
    }

View Full Code Here

    float x = 1f / (1f - (float) Math.exp( (myTauRef - (1f / maxRate)) / myTauRC));
    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);    
  }

View Full Code Here

    float x = 1f / (1f - (float) Math.exp( (myTauRef - (1f / maxRate)) / myTauRC));
    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);    
  }

View Full Code Here

TOP

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

ca.nengo.model.neuron.impl.ALIFNeuronFactory

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

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.