Command: hh_psc_alpha

References

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)

Description

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.

Parameters

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.

Problems/Todo:

better spike detection

initial wavelet/spike at simulation onset

Sends

SpikeEvent

File

models/hh_psc_alpha.h

Receives

SpikeEvent
CurrentEvent
DataLoggingRequest

Authors: Schrader

Authors: Schrader