Miind
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#include <libs/GeomLib/DiffusionParameter.hpp>
Public Member Functions | |
DiffusionParameter (double diffusion_jump=0.03, double diffusion_limit=0.03) | |
Public Attributes | |
double | _diffusion_jump |
double | _diffusion_limit |
When to switch to a two Poisson input approximation, and what input jump to use then.
It is often useful to emulate Gaussian white noise with a Poisson input. For low variability white noise, a single Poisson input is sufficient. When the variability is high, two inputs must be used. This parameter determines when the switch is made (diffusion_limit) and what efficacy is being used for the two Poisson inputs (diffusion jump). The the values are typically interpreted as percentages of a scale, which is set by the neural model.
Definition at line 46 of file DiffusionParameter.hpp.
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inline |
Definition at line 52 of file DiffusionParameter.hpp.
double GeomLib::DiffusionParameter::_diffusion_jump |
Definition at line 48 of file DiffusionParameter.hpp.
double GeomLib::DiffusionParameter::_diffusion_limit |
Definition at line 49 of file DiffusionParameter.hpp.
Referenced by GeomLib::GeomInputConvertor::IsSingleDiffusionProcess().