| Name: | hh_cond_exp_traub - Hodgin Huxley based model, Traub modified.
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| Description: |
hh_cond_exp_traub is an implementation of a modified Hodkin-Huxley model
(1) Post-syaptic currents
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 current of 1 nS.
(2) Spike Detection
Spike detection is done by a combined threshold-and-local-maximum search: if there
is a local maximum above a certain threshold of the membrane potential, it is considered a spike.
Problems/Todo:
Only the channel variables m,h,n are implemented. The original
contains variables called y,s,r,q and \chi.
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| Parameters: |
The following parameters can be set in the status dictionary.
V_m double - Membrane potential in mV
V_T double - Voltage offset that controls dynamics. For default
parameters, V_T = -63mV results in a threshold around -50mV.
E_L double - Leak reversal potential in mV.
C_m double - Capacity of the membrane in pF.
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.
E_ex double - Excitatory synaptic reversal potential in mV.
E_in double - Inhibitory synaptic reversal potential in mV.
E_Na double - Sodium reversal potential in mV.
g_Na double - Sodium peak conductance in nS.
E_K double - Potassium reversal potential in mV.
g_K double - Potassium peak conductance in nS.
I_e double - External input current in pA.
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| References: |
Traub, R.D. and Miles, R. (1991)
Neuronal Networks of the Hippocampus. Cambridge University Press,
Cambridge UK.
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| Sends: | SpikeEvent
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| Receives: | SpikeEvent, CurrentEvent, DataLoggingRequest
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| Author: | Schrader
| SeeAlso: | hh_psc_alpha |
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| Source: | /home/abuild/rpmbuild/BUILD/nest-2.4.1/models/hh_cond_exp_traub.h
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