Command: hh_psc_alpha


Spiking Neuron Models:
Single Neurons Populations Plasticity
Wulfram Gerstner Werner Kistler Cambridge University Press

Theoretical Neuroscience:
Computational and Mathematical Modeling of Neural Systems
Peter Dayan L. F. Abbott MIT Press (parameters taken from here)

Hodgkin A. L. and Huxley A. F.
A Quantitative Description of Membrane Current
and Its Application to Conduction and Excitation in Nerve
Journal of Physiology 117 500-544 (1952)


hh_psc_alpha is an implementation of a spiking neuron using the Hodkin-Huxley formalism.

(1) Post-syaptic currents
Incoming spike events induce a post-synaptic change of current modelled
by an alpha function. The alpha function is normalised 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.


The following parameters can be set in the status dictionary.

V_m double - Membrane potential in mV
E_L double - Resting membrane potential in mV.
g_L double - Leak conductance in nS.
C_m double - Capacity of the membrane in pF.
tau_ex double - Rise time of the excitatory synaptic alpha function in ms.
tau_in double - Rise time of the inhibitory synaptic alpha function in ms.
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.
Act_m double - Activation variable m
Act_h double - Activation variable h
Inact_n double - Inactivation variable n
I_e double - Constant external input current in pA.


better spike detection
initial wavelet/spike at simulation onset


SpikeEvent CurrentEvent DataLoggingRequest

Authors: Schrader