Esempio n. 1
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    def create_models(self):

        self.generic_cell = Cell(id = "GenericCell")

        morphology = Morphology()
        morphology.id = "morphology_"+self.generic_cell.id

        self.generic_cell.morphology = morphology

        prox_point = Point3DWithDiam(x="0", y="0", z="0", diameter=self.get_bioparameter("cell_diameter").value)
        dist_point = Point3DWithDiam(x="0", y="0", z=self.get_bioparameter("cell_length").value, diameter=self.get_bioparameter("cell_diameter").value)

        segment = Segment(id="0",
                          name="soma",
                          proximal = prox_point, 
                          distal = dist_point)

        morphology.segments.append(segment)

        self.generic_cell.biophysical_properties = BiophysicalProperties(id="biophys_"+self.generic_cell.id)

        mp = MembraneProperties()
        self.generic_cell.biophysical_properties.membrane_properties = mp

        mp.init_memb_potentials.append(InitMembPotential(value=self.get_bioparameter("initial_memb_pot").value))

        mp.specific_capacitances.append(SpecificCapacitance(value=self.get_bioparameter("specific_capacitance").value))

        mp.spike_threshes.append(SpikeThresh(value=self.get_bioparameter("spike_thresh").value))

        mp.channel_densities.append(ChannelDensity(cond_density=self.get_bioparameter("leak_cond_density").value, 
                                                   id="Leak_all", 
                                                   ion_channel="Leak", 
                                                   erev=self.get_bioparameter("leak_erev").value,
                                                   ion="non_specific"))

        mp.channel_densities.append(ChannelDensity(cond_density=self.get_bioparameter("k_slow_cond_density").value, 
                                                   id="k_slow_all", 
                                                   ion_channel="k_slow", 
                                                   erev=self.get_bioparameter("k_slow_erev").value,
                                                   ion="k"))

        mp.channel_densities.append(ChannelDensity(cond_density=self.get_bioparameter("k_fast_cond_density").value, 
                                                   id="k_fast_all", 
                                                   ion_channel="k_fast", 
                                                   erev=self.get_bioparameter("k_fast_erev").value,
                                                   ion="k"))

        mp.channel_densities.append(ChannelDensity(cond_density=self.get_bioparameter("ca_boyle_cond_density").value, 
                                                   id="ca_boyle_all", 
                                                   ion_channel="ca_boyle", 
                                                   erev=self.get_bioparameter("ca_boyle_erev").value,
                                                   ion="ca"))

        ip = IntracellularProperties()
        self.generic_cell.biophysical_properties.intracellular_properties = ip

        # NOTE: resistivity/axial resistance not used for single compartment cell models, so value irrelevant!
        ip.resistivities.append(Resistivity(value="0.1 kohm_cm"))


        # NOTE: Ca reversal potential not calculated by Nernst, so initial_ext_concentration value irrelevant!
        species = Species(id="ca", 
                          ion="ca",
                          concentration_model="CaPool",
                          initial_concentration="0 mM",
                          initial_ext_concentration="2E-6 mol_per_cm3")

        ip.species.append(species)


        self.exc_syn = GradedSynapse(id="exc_syn",
                                conductance =        self.get_bioparameter("exc_syn_conductance").value,
                                delta =              self.get_bioparameter("exc_syn_delta").value,
                                Vth =                self.get_bioparameter("exc_syn_vth").value,
                                erev =               self.get_bioparameter("exc_syn_erev").value,
                                k =                  self.get_bioparameter("exc_syn_k").value)


        self.inh_syn = GradedSynapse(id="inh_syn",
                                conductance =        self.get_bioparameter("inh_syn_conductance").value,
                                delta =              self.get_bioparameter("inh_syn_delta").value,
                                Vth =                self.get_bioparameter("inh_syn_vth").value,
                                erev =               self.get_bioparameter("inh_syn_erev").value,
                                k =                  self.get_bioparameter("inh_syn_k").value)

        self.elec_syn = GapJunction(id="elec_syn",
                               conductance =    self.get_bioparameter("elec_syn_gbase").value)


        self.offset_current = PulseGenerator(id="offset_current",
                                delay=self.get_bioparameter("unphysiological_offset_current_del").value,
                                duration=self.get_bioparameter("unphysiological_offset_current_dur").value,
                                amplitude=self.get_bioparameter("unphysiological_offset_current").value)
Esempio n. 2
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    def create_generic_neuron_cell(self):

        self.generic_neuron_cell = Cell(id="GenericNeuronCell")

        morphology = Morphology()
        morphology.id = "morphology_" + self.generic_neuron_cell.id

        self.generic_neuron_cell.morphology = morphology

        prox_point = Point3DWithDiam(
            x="0",
            y="0",
            z="0",
            diameter=self.get_bioparameter("cell_diameter").value)
        dist_point = Point3DWithDiam(
            x="0",
            y="0",
            z="0",
            diameter=self.get_bioparameter("cell_diameter").value)

        segment = Segment(id="0",
                          name="soma",
                          proximal=prox_point,
                          distal=dist_point)

        morphology.segments.append(segment)

        self.generic_neuron_cell.biophysical_properties = BiophysicalProperties(
            id="biophys_" + self.generic_neuron_cell.id)

        mp = MembraneProperties()
        self.generic_neuron_cell.biophysical_properties.membrane_properties = mp

        mp.init_memb_potentials.append(
            InitMembPotential(
                value=self.get_bioparameter("initial_memb_pot").value))

        mp.specific_capacitances.append(
            SpecificCapacitance(value=self.get_bioparameter(
                "neuron_specific_capacitance").value))

        mp.spike_threshes.append(
            SpikeThresh(
                value=self.get_bioparameter("neuron_spike_thresh").value))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_leak_cond_density").value,
                           id="Leak_all",
                           ion_channel="Leak",
                           erev=self.get_bioparameter("leak_erev").value,
                           ion="non_specific"))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_k_slow_cond_density").value,
                           id="k_slow_all",
                           ion_channel="k_slow",
                           erev=self.get_bioparameter("k_slow_erev").value,
                           ion="k"))
        '''
        mp.channel_densities.append(ChannelDensity(cond_density=self.get_bioparameter("neuron_k_fast_cond_density").value, 
                                                   id="k_fast_all", 
                                                   ion_channel="k_fast", 
                                                   erev=self.get_bioparameter("k_fast_erev").value,
                                                   ion="k"))'''

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_ca_simple_cond_density").value,
                           id="ca_simple_all",
                           ion_channel="ca_simple",
                           erev=self.get_bioparameter("ca_simple_erev").value,
                           ion="ca"))

        ip = IntracellularProperties()
        self.generic_neuron_cell.biophysical_properties.intracellular_properties = ip

        # NOTE: resistivity/axial resistance not used for single compartment cell models, so value irrelevant!
        ip.resistivities.append(Resistivity(value="0.1 kohm_cm"))

        # NOTE: Ca reversal potential not calculated by Nernst, so initial_ext_concentration value irrelevant!
        species = Species(id="ca",
                          ion="ca",
                          concentration_model="CaPool",
                          initial_concentration="0 mM",
                          initial_ext_concentration="2E-6 mol_per_cm3")

        ip.species.append(species)
Esempio n. 3
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    def create_neuron_cell(self, cell_name, morphology):

        cell = Cell(id=cell_name)

        cell.notes = "Cell model created by c302 with custom electrical parameters"

        cell.morphology = morphology

        cell.biophysical_properties = BiophysicalProperties(id="biophys_" +
                                                            cell.id)

        mp = MembraneProperties()
        cell.biophysical_properties.membrane_properties = mp

        mp.init_memb_potentials.append(
            InitMembPotential(
                value=self.get_bioparameter("initial_memb_pot").value))

        mp.specific_capacitances.append(
            SpecificCapacitance(
                value=self.get_bioparameter("specific_capacitance").value))

        mp.spike_threshes.append(
            SpikeThresh(
                value=self.get_bioparameter("neuron_spike_thresh").value))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_leak_cond_density").value,
                           id="Leak_all",
                           ion_channel="Leak",
                           erev=self.get_bioparameter("leak_erev").value,
                           ion="non_specific"))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_k_slow_cond_density").value,
                           id="k_slow_all",
                           ion_channel="k_slow",
                           erev=self.get_bioparameter("k_slow_erev").value,
                           ion="k"))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_k_fast_cond_density").value,
                           id="k_fast_all",
                           ion_channel="k_fast",
                           erev=self.get_bioparameter("k_fast_erev").value,
                           ion="k"))

        mp.channel_densities.append(
            ChannelDensity(cond_density=self.get_bioparameter(
                "neuron_ca_boyle_cond_density").value,
                           id="ca_boyle_all",
                           ion_channel="ca_boyle",
                           erev=self.get_bioparameter("ca_boyle_erev").value,
                           ion="ca"))

        ip = IntracellularProperties()
        cell.biophysical_properties.intracellular_properties = ip

        # NOTE: resistivity/axial resistance not used for single compartment cell models, so value irrelevant!
        ip.resistivities.append(
            Resistivity(value=self.get_bioparameter("resistivity").value))

        # NOTE: Ca reversal potential not calculated by Nernst, so initial_ext_concentration value irrelevant!
        species = Species(id="ca",
                          ion="ca",
                          concentration_model="CaPool",
                          initial_concentration="0 mM",
                          initial_ext_concentration="2E-6 mol_per_cm3")

        ip.species.append(species)

        return cell