hh_psc_alpha – Hodgkin-Huxley neuron model¶
Description¶
hh_psc_alpha
is an implementation of a spiking neuron using the Hodgkin-Huxley
formalism.
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.
For details on asynchronicity in spike and firing events with Hodgkin Huxley models see here.
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 |
g_L |
nS |
Leak conductance |
tau_ex |
ms |
Rise time of the excitatory synaptic alpha function |
tau_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_K |
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 |
Problems/Todo¶
better spike detection
initial wavelet/spike at simulation onset
References¶
Sends¶
SpikeEvent
Receives¶
SpikeEvent, CurrentEvent, DataLoggingRequest
See also¶
hh_cond_exp_traub