Sentence examples for models of recognition from inspiring English sources

An auto-associative neural network for sparse representations: Analysis and application to models of recognition and cued recall.

One class of models of recognition memory is consistent with discrete-state mediation conceptualizations of recognition memory (e.g. Rouder & Morey 2009).

In the end, we conclude that the list-length effect obtained from present experimental designs is insufficient for competitively testing item-noise and context-noise models of recognition.

However, because the theory is verbally specified, it is challenging to tie formal models of recognition memory to it, as evidenced by the fact that both continuous and discrete-state mediation appear germane to different instantiations of the theory.

The dissociation within recognition memory supports dual-process models of recognition, and also supports proposals that anatomically linked regions within the medial temporal lobe make qualitatively different contributions to recognition.

Indeed, we would argue that ROC data offer essential constraints on the development of any process model of eyewitness identifications, just as they have constrained development of process models of recognition memory more generally (e.g., Ratcliff & McKoon, 1991; Shiffrin & Steyvers, 1997).

We apply our method to the two-high-threshold model of recognition memory, using previously published data.

The fact that correct rejections lead to a less well-calibrated relationship between confidence and accuracy is predicted by the standard unequal variance signal detection model of recognition memory (see Mickes et al., 2007, 2011).

Most of the genes encode nucleotide-binding site (NBS) leucine-rich repeat (LRR) proteins that interact with pathogen effectors and trigger defense reactions following a gene-for-gene model of recognition (Bryan et al. 2000; Okuyama et al. 2011; Cesari et al. 2013).

To exclude that increased false memory generation after sleep deprivation merely resulted from enhanced baseline propensity to accept items, additional analyses were performed with the discrimination index Pr and the response bias index Br according to the two-high threshold model of recognition memory as dependent variables ([25]; see Materials and Methods, for details).

10-fold cross-validation method was applied to verify the decision tree model of recognition mode.