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pyclustering
0.10.1
pyclustring is a Python, C++ data mining library.
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pyclustering
0.10.1
pyclustring is a Python, C++ data mining library.
|
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. | |
| gNa | |
| Maximal conductivity for sodium current. | |
| gK | |
| Maximal conductivity for potassium current. | |
| gL | |
| Maximal conductivity for leakage current. | |
| vNa | |
| Reverse potential of sodium current [mV]. | |
| vK | |
| Reverse potential of potassium current [mV]. | |
| vL | |
| Reverse potential of leakage current [mV]. | |
| vRest | |
| Rest potential [mV]. | |
| Icn1 | |
| External current [mV] for central element 1. | |
| Icn2 | |
| External current [mV] for central element 2. | |
| Vsyninh | |
| Synaptic reversal potential [mV] for inhibitory effects. | |
| Vsynexc | |
| Synaptic reversal potential [mV] for exciting effects. | |
| alfa_inhibitory | |
| Alfa-parameter for alfa-function for inhibitory effect. | |
| betta_inhibitory | |
| Betta-parameter for alfa-function for inhibitory effect. | |
| alfa_excitatory | |
| Alfa-parameter for alfa-function for excitatory effect. | |
| betta_excitatory | |
| Betta-parameter for alfa-function for excitatory effect. | |
| w1 | |
| Strength of the synaptic connection from PN to CN1. | |
| w2 | |
| Strength of the synaptic connection from CN1 to PN. | |
| w3 | |
| Strength of the synaptic connection from CN2 to PN. | |
| deltah | |
| Period of time [ms] when high strength value of synaptic connection exists from CN2 to PN. | |
| threshold | |
| Threshold of the membrane potential that should exceeded by oscillator to be considered as an active. | |
| eps | |
| Affects pulse counter. | |
Describes parameters of Hodgkin-Huxley Oscillatory Network.
| def pyclustering.nnet.hhn.hhn_parameters.__init__ | ( | self | ) |
1.8.17