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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¶
- 1
Gerstner W, Kistler W. Spiking neuron models: Single neurons, populations, plasticity. Cambridge University Press
- 2
Mancilla JG, Lewis TG, Pinto DJ, Rinzel J, Connors BW (2007). Synchronization of electrically coupled pairs of inhibitory interneurons in neocortex, Journal of Neurosciece, 27:2058-2073 DOI: https://doi.org/10.1523/JNEUROSCI.2715-06.2007 (parameters taken from here)
- 3
Hodgkin AL and Huxley A F (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology 117. DOI: https://doi.org/10.1113/jphysiol.1952.sp004764
- 4
Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A, Diesmann M (2015). A unified framework for spiking and gap-junction interactions in distributed neuronal netowrk simulations. Frontiers in Neuroinformatics, 9:22. DOI: https://doi.org/10.3389/fninf.2015.00022
Sends¶
SpikeEvent, GapJunctionEvent
Receives¶
SpikeEvent, GapJunctionEvent, CurrentEvent, DataLoggingRequest