Uses of Class
org.neuroml.model.BaseCell
Packages that use BaseCell
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Uses of BaseCell in org.neuroml.model
Subclasses of BaseCell in org.neuroml.modelModifier and TypeClassDescriptionclass
Model based on Brette R and Gerstner W ( 2005 ) Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity.class
Any cell with a membrane potential **v** with voltage units and a membrane capacitance **C.** Also defines exposed value **iSyn** for current due to external synapses and **iMemb** for total transmembrane current ( usually channel currents plus **iSyn** ) \n :param C: Total capacitance of the cell membrane :type C: capacitanceclass
Base type of any PyNN standard cell model.class
Base type of any PyNN standard integrate and fire model \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Base type of conductance based PyNN IaF cell models \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Cell with **segment** s specified in a **morphology** element along with details on its **biophysicalProperties** .class
Variant of cell with two independent Ca2+ pools.class
Adaptive exponential integrate and fire neuron according to Brette R and Gerstner W ( 2005 ) with alpha-function-shaped post-synaptic conductance \n :param v_spike: :type v_spike: none :param delta_T: :type delta_T: none :param tau_w: :type tau_w: none :param a: :type a: none :param b: :type b: none :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Adaptive exponential integrate and fire neuron according to Brette R and Gerstner W ( 2005 ) with exponentially-decaying post-synaptic conductance \n :param v_spike: :type v_spike: none :param delta_T: :type delta_T: none :param tau_w: :type tau_w: none :param a: :type a: none :param b: :type b: none :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
The Fitzhugh Nagumo model is a two-dimensional simplification of the Hodgkin-Huxley model of spike generation in squid giant axons.class
Simple dimensionless model of spiking cell from FitzHugh and Nagumo.class
Single-compartment Hodgkin-Huxley-type neuron with transient sodium and delayed-rectifier potassium currents using the ion channel models from Traub.class
The Hindmarsh Rose model is a simplified point cell model which captures complex firing patterns of single neurons, such as periodic and chaotic bursting.class
Integrate and fire cell with capacitance **C,** **leakConductance** and **leakReversal** \n :param leakConductance: :type leakConductance: conductance :param leakReversal: :type leakReversal: voltage :param thresh: :type thresh: voltage :param reset: :type reset: voltage :param C: Total capacitance of the cell membrane :type C: capacitanceclass
Integrate and fire cell with capacitance **C,** **leakConductance,** **leakReversal** and refractory period **refract** \n :param refract: :type refract: time :param leakConductance: :type leakConductance: conductance :param leakReversal: :type leakReversal: voltage :param thresh: :type thresh: voltage :param reset: :type reset: voltage :param C: Total capacitance of the cell membrane :type C: capacitanceclass
Integrate and fire cell which returns to its leak reversal potential of **leakReversal** with a time constant **tau** \n :param leakReversal: :type leakReversal: voltage :param tau: :type tau: time :param thresh: The membrane potential at which to emit a spiking event and reset voltage :type thresh: voltage :param reset: The value the membrane potential is reset to on spiking :type reset: voltageclass
Integrate and fire cell which returns to its leak reversal potential of **leakReversal** with a time course **tau.** It has a refractory period of **refract** after spiking \n :param refract: :type refract: time :param leakReversal: :type leakReversal: voltage :param tau: :type tau: time :param thresh: The membrane potential at which to emit a spiking event and reset voltage :type thresh: voltage :param reset: The value the membrane potential is reset to on spiking :type reset: voltageclass
Leaky integrate and fire model with fixed threshold and alpha-function-shaped post-synaptic conductance \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Leaky integrate and fire model with fixed threshold and exponentially-decaying post-synaptic conductance \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Leaky integrate and fire model with fixed threshold and alpha-function-shaped post-synaptic current \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Leaky integrate and fire model with fixed threshold and decaying-exponential post-synaptic current \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: noneclass
Cell based on the modified Izhikevich model in Izhikevich 2007, Dynamical systems in neuroscience, MIT Press \n :param v0: Initial membrane potential :type v0: voltage :param k: :type k: conductance_per_voltage :param vr: Resting membrane potential :type vr: voltage :param vt: Spike threshold :type vt: voltage :param vpeak: Peak action potential value :type vpeak: voltage :param a: Time scale of recovery variable u :type a: per_time :param b: Sensitivity of recovery variable u to subthreshold fluctuations of membrane potential v :type b: conductance :param c: After-spike reset value of v :type c: voltage :param d: After-spike increase to u :type d: current :param C: Total capacitance of the cell membrane :type C: capacitanceclass
Cell based on the 2003 model of Izhikevich, see http://izhikevich.org/publications/spikes.htm \n :param v0: Initial membrane potential :type v0: voltage :param a: Time scale of the recovery variable U :type a: none :param b: Sensitivity of U to the subthreshold fluctuations of the membrane potential V :type b: none :param c: After-spike reset value of V :type c: none :param d: After-spike increase to U :type d: none :param thresh: Spike threshold :type thresh: voltageclass
Reduced CA3 cell model from Pinsky, P.Fields in org.neuroml.model with type parameters of type BaseCellMethods in org.neuroml.model that return BaseCellMethods in org.neuroml.model that return types with arguments of type BaseCellModifier and TypeMethodDescriptionNeuroMLDocument.getBaseCell()
Gets the value of the baseCell property.