iaf_cond_alpha – Simple conductance based leaky integrate-and-fire neuron model
===============================================================================

Description
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``iaf_cond_alpha`` is an implementation of a spiking neuron using IAF dynamics with
conductance-based synapses. Incoming spike events induce a postsynaptic change
of conductance modelled by an alpha function. The alpha function
is normalized such that an event of weight 1.0 results in a peak current of 1 nS
at :math:`t = \tau_{syn}`.

See also [1]_, [2]_, [3]_.

Parameters
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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      Rise time of the excitatory synaptic alpha function
 tau_syn_in ms      Rise time of the inhibitory synaptic alpha function
 I_e        pA      Constant input current
=========== ======= ===========================================================

Sends
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SpikeEvent

Receives
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SpikeEvent, CurrentEvent, DataLoggingRequest

References
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.. [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] Bernander O, Douglas RJ, Martin KAC, Koch C (1991). Synaptic background
       activity influences spatiotemporal integration in single pyramidal
       cells.  Proceedings of the National Academy of Science USA,
       88(24):11569-11573.
       DOI: https://doi.org/10.1073/pnas.88.24.11569
.. [3] Kuhn A, Rotter S (2004) Neuronal integration of synaptic input in
       the fluctuation- driven regime. Journal of Neuroscience,
       24(10):2345-2356
       DOI: https://doi.org/10.1523/JNEUROSCI.3349-03.2004

See also
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:doc:`Neuron <index_neuron>`, :doc:`Integrate-And-Fire <index_integrate-and-fire>`, :doc:`Conductance-Based <index_conductance-based>`