As an investigative strategy, however, the assumption of function and purpose is useful, because it can help one to discover adaptive features that are subtle or complex or for some other reason easy to overlook.
More precisely, the mechanisms underlying the neuroplasticity has been variously attributed to redundancy (parallel distributed pathways), changes in synaptic strength, axonal sprouting with formation of new synapses, assumption of function by contralateral homologous cortex, and substitution of uncrossed pathways [ 36].
For example, two important concepts were marked by the seminal papers of Fan [8, 9] for removing the concavity/quasi-concavity assumptions of functions, and Nishimura and Friedman [10] abandoned concavity completely.
The fetal period (from about the second month until birth) is characterized by increased growth of the organism and by the gradual assumption of physical functions.
The approach removes the assumption of linear functions outside the deadband as an added contribution.
While methods of reliability analysis can provide a means for designing so as not to exceed specific levels of "acceptable" risk, they do not consider the uncertainty in the assumption of distribution functions for each of the input variables and are built on the basic assumption that the models used perfectly describe reality.
However, the inclusion of these anatomical features of cortex implies no assumption of their function for cortex, meaning that our models are nevertheless agnostic to cortical function.
They thus violate the assumption of weighting function ignorability.
Without the prior assumption of distortion function, high-order statistics methods are wildly used; one of the optimality criteria is MED (minimum entropy deconvolution).
The algorithm makes no assumption of the function to be optimized and for biomedical experiments like those presented here, PSO typically finds the optimal solutions in a few seconds of CPU time on a garden-variety laptop.
