High-variability training does not enhance generalization in the prototype-distortion paradigm.

Classic studies of human categorization learning provided evidence that high-variability training in the prototype-distortion paradigm enhances subsequent generalization to novel test patterns from the learned categories. More recent work suggests, however, that when the number of training trials is equated across low-variability and high-variability training conditions, it is low-variability training that yields better generalization performance. Whereas the recent studies used cartoon-animal stimuli varying along binary-valued dimensions, in the present work we return to the use of prototype-distorted dot-pattern stimuli that had been used in the original classic studies.

Modeling within-session dynamics of categorical and item-memory mechanisms in pigeons.

Past studies have shown that pigeons can learn complex categories and can also remember large numbers of individual objects. In recent work, Cook et al. Psychonomic Bulletin & Review, 28, 548-555, (2021) provided evidence that pigeons may use a dynamic combination of both category-based information and item-specific memorization to solve a categorical variation of the mid-session reversal (MSR) task, which is an influential task for exploring the nature of temporally organized behaviors in animals.

GAC-SleepNet: A dual-structured sleep staging method based on graph structure and Euclidean structure.

Sleep staging is a precondition for the diagnosis and treatment of sleep disorders. However, how to fully exploit the relationship between spatial features of the brain and sleep stages is an important task. Many current classical algorithms only extract the characteristic information of the brain in the Euclidean space without considering other spatial structures.

Category structure and region-specific selective attention.

A fundamental component of human categorization involves learning to attend selectively to relevant dimensions and ignore irrelevant ones. Past research has shown that humans can learn flexible strategies in which the attended dimensions vary depending on the region of feature space in which classification takes place. However, region-specific selective attention (RSA) is often challenging to learn.

Research on application of ReliefF and improved RVM in water quality grade evaluation.

ReliefF algorithm was used to analyze the weight of each water quality evaluation factor, and then based on the Relevance Vector Machine (RVM), Particle Swarm Optimization (PSO) was used to optimize the kernel width factor and hyperparameters of RVM to build a water quality evaluation model, and the experimental results of RVM, PSO-RVM, ReliefF-RVM and PSO-ReliefF-RVM were compared. The results show that ReliefF algorithm, combined with threshold value, selects 5 evaluation factors with significant weight from eight evaluation factors, which reduces the amount of data used in the model, CSI index is used to calculate the separability of each evaluation factor combination. The results show that the overall separability of the combination is best when the evaluation factor with significant weight is reserved.

Exemplar-model account of categorization and recognition when training instances never repeat.

In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which participants classified transfer items with high accuracy in the no-repeat condition, yet in old-new recognition tests showed no ability to discriminate between old and new items of the same level of distortion from the prototype.

A case of Melkersson-Rosenthal syndrome with endocrine disorders: Extraordinary efficiency of hydroxychloroquine and mechanism hypothesis.

Background And Purpose: Melkersson-Rosenthal syndrome (MRS) is a rare neuro-mucocutaneous disease. In addition to the traditional clinical triad, there is also a diversity of clinical signs, and it may be related to other systemic diseases.

Methods: In the present study, we report a case of MRS with endocrine disorders that exhibits extraordinary therapeutic efficiency by using hydroxychloroquine (HCQ), explore whether there is an internal connection between MRS and endocrine disorders, and discuss the mechanism of the therapeutic efficiency of using HCQ.

Tacrolimus 0.03% ointment treatment in exfoliative cheilitis: A randomised controlled clinical trial and monitoring blood concentration.

Background: Tacrolimus has been used to treat various inflammatory skin diseases, but its safety for topical application on the oral mucosa is unknown. Exfoliative cheilitis (EC) is a chronic inflammatory disorder of the lips characterised by repeated scaling; it is difficult to manage. The aim of this study was to assess the efficacy and safety of tacrolimus 0.

Predictive cues reduce but do not eliminate intrinsic response bias.

Predictive cues induce large changes in people's choices by biasing responses towards the expected stimulus category. At the same time, even in the absence of predictive cues, humans often exhibit substantial intrinsic response biases. Despite the ubiquity of both of these biasing effects, it remains unclear how predictive cues interact with intrinsic bias.