hh_cond_exp_traub

Command: hh_cond_exp_traub


References


Traub R.D. and Miles R. (1991)
Neuronal Networks of the Hippocampus. Cambridge University Press
Cambridge UK.

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.

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.

Author
Schrader

Sends
SpikeEvent

File
models/hh_cond_exp_traub.h
Receives
SpikeEvent CurrentEvent DataLoggingRequest

SeeAlso