hh_psc_alpha_gap – Hodgkin-Huxley neuron model with gap-junction support¶
Description¶
hh_psc_alpha_gap
is an implementation of a spiking neuron using the
Hodgkin-Huxley formalism. In contrast to hh_psc_alpha
the implementation
additionally supports gap junctions.
1. Postsynaptic currents Incoming spike events induce a postsynaptic change of current 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 pA.
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.
3. Gap Junctions Gap Junctions are implemented by a gap current of the form \(g_{ij}( V_i - V_j)\).
Parameters¶
The following parameters can be set in the status dictionary.
tau_ex |
ms |
Rise time of the excitatory synaptic alpha function |
tau_in |
ms |
Rise time of the inhibitory synaptic alpha function |
g_K |
nS |
Potassium peak conductance |
V_m |
mV |
Membrane potential |
E_L |
mV |
Leak reversal potential |
g_L |
nS |
Leak conductance |
C_m |
pF |
Capacity of the membrane |
tau_syn_ex |
ms |
Rise time of the excitatory synaptic alpha function |
tau_syn_in |
ms |
Rise time of the inhibitory synaptic alpha function |
E_Na |
mV |
Sodium reversal potential |
g_Na |
nS |
Sodium peak conductance |
E_K |
mV |
Potassium reversal potential |
g_Kv1 |
nS |
Potassium peak conductance |
g_Kv3 |
nS |
Potassium peak conductance |
Act_m |
real |
Activation variable m |
Inact_h |
real |
Inactivation variable h |
Act_n |
real |
Activation variable n |
I_e |
pA |
External input current |
References¶
Sends¶
SpikeEvent, GapJunctionEvent
Receives¶
SpikeEvent, GapJunctionEvent, CurrentEvent, DataLoggingRequest