Command: iaf_cond_exp

Name:
iaf_cond_exp - Simple conductance based leaky integrate-and-fire neuron model.
Description:
iaf_cond_exp is an implementation of a spiking neuron using IAF dynamics with conductance-based synapses. Incoming spike events induce a post-synaptic change of conductance modelled by an exponential function. The exponential function is normalised such that an event of weight 1.0 results in a peak conductance of 1 nS.
Parameters:
The following parameters can be set in the status dictionary. V_m double - Membrane potential in mV E_L double - Leak reversal potential in mV. C_m double - Capacity of the membrane in pF t_ref double - Duration of refractory period in ms. V_th double - Spike threshold in mV. V_reset double - Reset potential of the membrane in mV. E_ex double - Excitatory reversal potential in mV. E_in double - Inhibitory reversal potential in mV. g_L double - Leak conductance in nS; tau_syn_ex double - Time constant of the excitatory synaptic exponential function in ms. tau_syn_in double - Time constant of the inhibitory synaptic exponential function in ms. I_e double - Constant external input current in pA.
Sends:
SpikeEvent
Receives:
SpikeEvent, CurrentEvent, DataLoggingRequest
References:
Meffin, H., Burkitt, A. N., & Grayden, D. B. (2004). An analytical model for the large, fluctuating synaptic conductance state typical of neocortical neurons in vivo. J. Comput. Neurosci., 16, 159-175.
Author:
Sven Schrader
SeeAlso: iaf_psc_delta iaf_psc_exp iaf_cond_exp

Source:
/home/abuild/rpmbuild/BUILD/nest-2.4.1/models/iaf_cond_exp.h

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Name:	iaf_cond_exp - Simple conductance based leaky integrate-and-fire neuron model.
Description:	iaf_cond_exp is an implementation of a spiking neuron using IAF dynamics with conductance-based synapses. Incoming spike events induce a post-synaptic change of conductance modelled by an exponential function. The exponential function is normalised such that an event of weight 1.0 results in a peak conductance of 1 nS.
Parameters:	The following parameters can be set in the status dictionary. V_m double - Membrane potential in mV E_L double - Leak reversal potential in mV. C_m double - Capacity of the membrane in pF t_ref double - Duration of refractory period in ms. V_th double - Spike threshold in mV. V_reset double - Reset potential of the membrane in mV. E_ex double - Excitatory reversal potential in mV. E_in double - Inhibitory reversal potential in mV. g_L double - Leak conductance in nS; tau_syn_ex double - Time constant of the excitatory synaptic exponential function in ms. tau_syn_in double - Time constant of the inhibitory synaptic exponential function in ms. I_e double - Constant external input current in pA.
Sends:	SpikeEvent
Receives:	SpikeEvent, CurrentEvent, DataLoggingRequest
References:	Meffin, H., Burkitt, A. N., & Grayden, D. B. (2004). An analytical model for the large, fluctuating synaptic conductance state typical of neocortical neurons in vivo. J. Comput. Neurosci., 16, 159-175.
Author:	Sven Schrader
SeeAlso:	`iaf_psc_delta` `iaf_psc_exp` `iaf_cond_exp`
Source:	/home/abuild/rpmbuild/BUILD/nest-2.4.1/models/iaf_cond_exp.h