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Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images.
Genetically engineered mouse models can exhibit changes not seen in humans.
The latter showed that this type of models can exhibit chaotic behavior.
In addition, the results show that these large-scale physical models can exhibit variability similar to that observed at field scale.
It is proved that very slightly perturbed minimal models can exhibit chaotic regimes, sometimes associated with chaotic strange attractors, as well as some of the bifurcations present in most of the differential equations models for similar physical circuit realizations.
Journal of Biomechanical Engineering 120(281 288–288] have demonstrated that passive dynamic walking computer models can exhibit a cascade of bifurcations in their gait pattern that lead to a deterministic nonlinear gait pattern.
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The model can exhibit the property of synchronization.
The simplified FEM model can exhibit mechanical performance at both wire and cable levels.
The NMB system dynamics portrayed by a Wiener model can exhibit sustained nonlinear oscillations under realistic PID gains and for physiologically feasible values of the model parameters.
Following a novel non-dimensionalization, it is shown analytically that the model can exhibit, at experimentally realistic parameter values, instabilities associated with coupling between the valve and acoustic waves in the pipe.
The heterogenous model can exhibit local bistability while the homogeneous model does not admit this property: when flow terms are accounted for both models can be approximated by a cell-model suggesting a simple conversion between the parameters of both models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com