iaf_cond_exp_sfa_rr – Conductance based leaky integrate-and-fire model with spike-frequency adaptation and relative refractory mechanisms ========================================================================================================================================= Description +++++++++++ ``iaf_cond_exp_sfa_rr`` is an implementation of a spiking neuron using integrate-and-fire dynamics with conductance-based synapses, with additional spike-frequency adaptation and relative refractory mechanisms as described in [2]_, page 166. Incoming spike events induce a postsynaptic change of conductance modelled by an exponential function. The exponential function is normalized such that an event of weight 1.0 results in a peak current of 1 nS. Outgoing spike events induce a change of the adaptation and relative refractory conductances by ``q_sfa`` and ``q_rr``, respectively. Otherwise these conductances decay exponentially with time constants ``tau_sfa`` and ``tau_rr``, respectively. See also [1]_. Parameters ++++++++++ The following parameters can be set in the status dictionary. =========== ====== =========================================================== V_m mV Membrane potential E_L mV Leak reversal potential C_m pF Capacity of the membrane t_ref ms Duration of refractory period V_th mV Spike threshold V_reset mV Reset potential of the membrane E_ex mV Excitatory reversal potential E_in mV Inhibitory reversal potential g_L nS Leak conductance tau_syn_ex ms Exponential decay time constant of excitatory synaptic conductance kernel tau_syn_in ms Exponential decay time constant of inhibitory synaptic conductance kernel q_sfa nS Outgoing spike activated quantal spike-frequency adaptation conductance increase in nS q_rr nS Outgoing spike activated quantal relative refractory conductance increase in nS tau_sfa ms Time constant of spike-frequency adaptation in ms tau_rr ms Time constant of the relative refractory mechanism in ms E_sfa mV Spike-frequency adaptation conductance reversal potential in mV E_rr mV Relative refractory mechanism conductance reversal potential in mV I_e pA Constant input current =========== ====== =========================================================== Sends +++++ SpikeEvent Receives ++++++++ SpikeEvent, CurrentEvent, DataLoggingRequest References ++++++++++ .. [1] Meffin H, Burkitt AN, Grayden DB (2004). An analytical model for the large, fluctuating synaptic conductance state typical of neocortical neurons in vivo. Journal of Computational Neuroscience, 16:159-175. DOI: https://doi.org/10.1023/B:JCNS.0000014108.03012.81 .. [2] Dayan P, Abbott LF (2001). Theoretical neuroscience: Computational and mathematical modeling of neural systems. Cambridge, MA: MIT Press. https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_3006127 See also ++++++++ :doc:`Neuron `, :doc:`Integrate-And-Fire `, :doc:`Conductance-Based `