Command: iaf_cond_alpha

Name:
iaf_cond_alpha - Simple conductance based leaky integrate-and-fire neuron model.
Description:
iaf_cond_alpha 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 alpha function. The alpha function is normalised such that an event of weight 1.0 results in a peak current of 1 nS at t = tau_syn.
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 - Rise time of the excitatory synaptic alpha function in ms. tau_syn_in double - Rise time of the inhibitory synaptic alpha function in ms. I_e double - Constant 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. Bernander, O ., Douglas, R. J., Martin, K. A. C., & Koch, C. (1991). Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proc. Natl. Acad. Sci. USA, 88(24), 11569-11573. Kuhn, Aertsen, Rotter (2004) Neuronal Integration of Synaptic Input in the Fluctuation- Driven Regime. Jneurosci 24(10) 2345-2356
Author:
Schrader, Plesser
SeeAlso: iaf_cond_exp iaf_cond_alpha_mc

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

NEST HelpDesk

Command Index

NEST Quick Reference

Name:	iaf_cond_alpha - Simple conductance based leaky integrate-and-fire neuron model.
Description:	iaf_cond_alpha 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 alpha function. The alpha function is normalised such that an event of weight 1.0 results in a peak current of 1 nS at t = tau_syn.
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 - Rise time of the excitatory synaptic alpha function in ms. tau_syn_in double - Rise time of the inhibitory synaptic alpha function in ms. I_e double - Constant 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. Bernander, O ., Douglas, R. J., Martin, K. A. C., & Koch, C. (1991). Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proc. Natl. Acad. Sci. USA, 88(24), 11569-11573. Kuhn, Aertsen, Rotter (2004) Neuronal Integration of Synaptic Input in the Fluctuation- Driven Regime. Jneurosci 24(10) 2345-2356
Author:	Schrader, Plesser
SeeAlso:	`iaf_cond_exp` `iaf_cond_alpha_mc`
Source:	/home/abuild/rpmbuild/BUILD/nest-2.4.1/models/iaf_cond_alpha.h