Describes parameters of Hodgkin-Huxley Oscillatory Network. More...

Public Member Functions
def	__init__ (self)
	Default constructor of parameters for Hodgkin-Huxley Oscillatory Network. More...

Public Attributes
	nu
	Intrinsic noise. More...

	gNa
	Maximal conductivity for sodium current. More...

	gK
	Maximal conductivity for potassium current. More...

	gL
	Maximal conductivity for leakage current. More...

	vNa
	Reverse potential of sodium current [mV]. More...

	vK
	Reverse potential of potassium current [mV]. More...

	vL
	Reverse potential of leakage current [mV]. More...

	vRest
	Rest potential [mV]. More...

	Icn1
	External current [mV] for central element 1. More...

	Icn2
	External current [mV] for central element 2. More...

	Vsyninh
	Synaptic reversal potential [mV] for inhibitory effects. More...

	Vsynexc
	Synaptic reversal potential [mV] for exciting effects. More...

	alfa_inhibitory
	Alfa-parameter for alfa-function for inhibitory effect. More...

	betta_inhibitory
	Betta-parameter for alfa-function for inhibitory effect. More...

	alfa_excitatory
	Alfa-parameter for alfa-function for excitatory effect. More...

	betta_excitatory
	Betta-parameter for alfa-function for excitatory effect. More...

	w1
	Strength of the synaptic connection from PN to CN1. More...

	w2
	Strength of the synaptic connection from CN1 to PN. More...

	w3
	Strength of the synaptic connection from CN2 to PN. More...

	deltah
	Period of time [ms] when high strength value of synaptic connection exists from CN2 to PN. More...

	threshold
	Threshold of the membrane potential that should exceeded by oscillator to be considered as an active. More...

	eps
	Affects pulse counter. More...

Detailed Description

Describes parameters of Hodgkin-Huxley Oscillatory Network.

See also: hhn_network

Definition at line 40 of file hhn.py.

Constructor & Destructor Documentation

◆ init()

def pyclustering.nnet.hhn.hhn_parameters.__init__ ( self )

Default constructor of parameters for Hodgkin-Huxley Oscillatory Network.

Constructor initializes parameters by default non-zero values that can be used for simple simulation.

Definition at line 48 of file hhn.py.

Member Data Documentation

◆ alfa_excitatory

pyclustering.nnet.hhn.hhn_parameters.alfa_excitatory

Alfa-parameter for alfa-function for excitatory effect.

Definition at line 102 of file hhn.py.

◆ alfa_inhibitory

pyclustering.nnet.hhn.hhn_parameters.alfa_inhibitory

Alfa-parameter for alfa-function for inhibitory effect.

Definition at line 95 of file hhn.py.

◆ betta_excitatory

pyclustering.nnet.hhn.hhn_parameters.betta_excitatory

Betta-parameter for alfa-function for excitatory effect.

Definition at line 105 of file hhn.py.

◆ betta_inhibitory

pyclustering.nnet.hhn.hhn_parameters.betta_inhibitory

Betta-parameter for alfa-function for inhibitory effect.

Definition at line 98 of file hhn.py.

◆ deltah

pyclustering.nnet.hhn.hhn_parameters.deltah

Period of time [ms] when high strength value of synaptic connection exists from CN2 to PN.

Definition at line 119 of file hhn.py.

◆ eps

pyclustering.nnet.hhn.hhn_parameters.eps

Affects pulse counter.

Definition at line 125 of file hhn.py.

◆ gK

pyclustering.nnet.hhn.hhn_parameters.gK

Maximal conductivity for potassium current.

Definition at line 62 of file hhn.py.

◆ gL

pyclustering.nnet.hhn.hhn_parameters.gL

Maximal conductivity for leakage current.

Definition at line 65 of file hhn.py.

◆ gNa

pyclustering.nnet.hhn.hhn_parameters.gNa

Maximal conductivity for sodium current.

Definition at line 59 of file hhn.py.

◆ Icn1

pyclustering.nnet.hhn.hhn_parameters.Icn1

External current [mV] for central element 1.

Definition at line 82 of file hhn.py.

◆ Icn2

pyclustering.nnet.hhn.hhn_parameters.Icn2

External current [mV] for central element 2.

Definition at line 85 of file hhn.py.

◆ nu

pyclustering.nnet.hhn.hhn_parameters.nu

Intrinsic noise.

Definition at line 56 of file hhn.py.

◆ threshold

pyclustering.nnet.hhn.hhn_parameters.threshold

Threshold of the membrane potential that should exceeded by oscillator to be considered as an active.

Definition at line 122 of file hhn.py.

◆ vK

pyclustering.nnet.hhn.hhn_parameters.vK

Reverse potential of potassium current [mV].

Definition at line 72 of file hhn.py.

◆ vL

pyclustering.nnet.hhn.hhn_parameters.vL

Reverse potential of leakage current [mV].

Definition at line 75 of file hhn.py.

◆ vNa

pyclustering.nnet.hhn.hhn_parameters.vNa

Reverse potential of sodium current [mV].

Definition at line 69 of file hhn.py.

◆ vRest

pyclustering.nnet.hhn.hhn_parameters.vRest

Rest potential [mV].

Definition at line 78 of file hhn.py.

◆ Vsynexc

pyclustering.nnet.hhn.hhn_parameters.Vsynexc

Synaptic reversal potential [mV] for exciting effects.

Definition at line 92 of file hhn.py.

◆ Vsyninh

pyclustering.nnet.hhn.hhn_parameters.Vsyninh

Synaptic reversal potential [mV] for inhibitory effects.

Definition at line 89 of file hhn.py.

◆ w1

pyclustering.nnet.hhn.hhn_parameters.w1

Strength of the synaptic connection from PN to CN1.

Definition at line 109 of file hhn.py.

◆ w2

pyclustering.nnet.hhn.hhn_parameters.w2

Strength of the synaptic connection from CN1 to PN.

Definition at line 112 of file hhn.py.

◆ w3

pyclustering.nnet.hhn.hhn_parameters.w3

Strength of the synaptic connection from CN2 to PN.

Definition at line 115 of file hhn.py.

The documentation for this class was generated from the following file:

pyclustering/nnet/hhn.py

Public Member Functions

Public Attributes