Sentence examples for plausible implementation from inspiring English sources

The model is an existence proof for a biologically plausible implementation of a neural blackboard central pattern generator.

This is because one can formulate optimal control as a Kalman filter (exactly for linear quadratic control) and predictive coding is a biologically plausible implementation of Bayesian filtering.

However, in biologically plausible implementations of active inference, variational updating of precision and inferred (control) states are widely distributed.

The change of parameters in the different phases of the simulation is a plausible computational implementation of the changing distributions of Hox gene products in the apical zone at the different phases of limb development [57].

This formulation equips the normative account (i.e., minimizing variational free energy or maximizing expected value) with a biologically plausible implementation an implementation that makes some clear predictions about measurable behavioral and neuronal responses.

One plausible neural implementation of this model is one in which the gain of encoding of decision information is strongest near to the category boundary.

This view provides a basis for relating human experiences in virtual environments to several theories that explain cognition and brain function on many levels, from ultimate evolutionary motivations to plausible neural implementations.

There is an increase in computational time and a significant decline in the number of solutions plausible for laboratory implementation(based on the filter cascade suggested by Penchovsky and Breaker in [15]).

A nonlinear finite element model is developed, and the implementation of plausible loading scenarios together with possible initial undamaged configurations of the bridge is then carried out.

This enables the implementation of biologically plausible feedforward object recognition networks that include explicit saliency models.

This may make it hard to evaluate whether observed outcomes of simulations are plausible or might be due to implementation errors.