Sentence examples for memory models have from inspiring English sources

While working memory models have mostly concentrated on bistable persistent activation, some efforts have also addressed the issue of cue- or response-coupled patterns of activity that steadily increase and decrease during delay periods.

This work has three main objectives: a) to point out that associative memory models have the possibility to act as expert systems in medical diagnosis; b) to show in a simple and straightforward way how to instruct a minimal expert system with associative memories; and c) to encourage the implementation of this methodology at large scale by medical groups.

In this context, studies investigating Baddeley's [ 2] working memory model have shown empirical evidence indicating that individual differences in the ability to control attention influence other cognitive functioning.

For that reason, in the IFATIS platform, the distributed shared memory model has been introduced to decouple the control application design from the issues of the hardware implementation.

For optimal cache memory configuration mathematical models have been proposed in the past.

To reduce the requirement of computational time and memory, the basin models have been descritised with a continuous variable grid size [30].

Furthermore, for the first time in neural memory models, we have demonstrated a method allowing input dimension not to be constrained to a fixed size or be a priori bounded; dimension can change with time, similar to organic memory allocation for memories of greater importance or increased detail.

Designing programs that adopt the MPI model (contrary to explicit shared memory models) may have advantages over nonuniform memory access (NUMA) architectures since MPI encourages memory locality.

Except for their price tags and memory shortcomings, the three models have little in common.

Another challenge to understanding changes in the neural bases of memory is that current models have not accounted for heterogeneity of function within the MTL.

Learning and memory studies in APP transgenic models have been difficult to replicate.