109 research outputs found

    Implicit learning of recursive context-free grammars

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    Context-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed awareness and implicitness. This paper explores the implicit learning of context-free grammars employing features of hierarchical organization, recursive embedding and long-distance dependencies. The grammars also featured the distinction between left- and right-branching structures, as well as between centre- and tail-embedding, both distinctions found in natural languages. People acquired unconscious knowledge of relations between grammatical classes even for dependencies over long distances, in ways that went beyond learning simpler relations (e.g. n-grams) between individual words. The structural distinctions drawn from linguistics also proved important as performance was greater for tail-embedding than centre-embedding structures. The results suggest the plausibility of implicit learning of complex context-free structures, which model some features of natural languages. They support the relevance of artificial grammar learning for probing mechanisms of language learning and challenge existing theories and computational models of implicit learning

    Implicit sequence learning of chunking and abstract structures

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    The current study investigated whether people can simultaneously acquire knowledge about concrete chunks and abstract structures in implicit sequence learning; and whether the degree of abstraction determines the conscious status of the acquired knowledge. We adopted three types of stimuli in a serial reaction time task in three experiments. The RT results indicated that people could simultaneously acquire knowledge about concrete chunks and abstract structures of the temporal sequence. Generation performance revealed that ability to control was mainly based on abstract structures rather than concrete chunks. Moreover, ability to control was not generally accompanied with awareness of knowing or knowledge, as measured by confidence ratings and attribution tests, confirming that people could control the use of unconscious knowledge of abstract structures. The results present a challenge to computational models and theories of implicit learning

    The role of edge-based and surface-based information in natural scene categorization: evidence from behavior and event-related potentials

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    A fundamental question in vision research is whether visual recognition is determined by edge-based information (e.g., edge, line, and conjunction) or surface-based information (e.g., color, brightness, and texture). To investigate this question, we manipulated the stimulus onset asynchrony (SOA) between the scene and the mask in a backward masking task of natural scene categorization. The behavioral results showed that correct classification was higher for line-drawings than for color photographs when the SOA was 13ms, but lower when the SOA was longer. The ERP results revealed that most latencies of early components were shorter for the line-drawings than for the color photographs, and the latencies gradually increased with the SOA for the color photographs but not for the line-drawings. The results provide new evidence that edge-based information is the primary determinant of natural scene categorization, receiving priority processing; by contrast, surface information takes longer to facilitate natural scene categorization

    Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features

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    Although many researches have shown that edge-based information is more important than surface-based information in object recognition, it remains unclear whether edge-based features play a more crucial role than surface-based features in category learning. To address this issue, a modified prototype distortion task was adopted in the present study, in which each category was defined by a rule or a similarity about either the edge-based features (i.e., contours or shapes) or the corresponding surface-based features (i.e., color and textures). The results of Experiments 1 and 2 showed that when the category was defined by a rule, the performance was significantly better in the edge-based condition than in the surface-based condition in the testing phase, and increasing the defined dimensions enhanced rather than reduced performance in the edge-based condition but not in the surface-based condition. The results of Experiment 3 showed that when each category was defined by a similarity, there was also a larger learning effect when the category was defined by edge-based dimensions than by surface-based dimensions in the testing phase. The current study is the first to provide convergent evidence that the edge-based information matters more than surface-based information in incidental category learning

    Association of TRB3 Q84R polymorphism with polycystic ovary syndrome in Chinese women

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    <p>Abstract</p> <p>Background</p> <p>Tribbles 3 (TRB3) affects insulin signalling by inhibiting insulin-stimulated Akt phosphorylation and subsequent activation. A single nucleotide polymorphism located in the second extron of the human TRB3 gene is thought to be associated with insulin resistance. The latter is a core abnormality in PCOS independent of obesity. The present study was designed to clarify the relationships of TRB3 Q84R polymorphism with PCOS in a Chinese women group.</p> <p>Methods</p> <p>A case-control study with two groups: PCOS group (n = 336) and control group of infertility women for tubal and/or male factor (n = 116) was performed. Genotyping of the TRB3 R84 variant was determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).</p> <p>Results</p> <p>The frequency of genotype QQ in PCOS women was significantly lower, while genotype QR and RR were significantly higher than that in control group (p < 0.05). However, the difference disappeared after adjustment for BMI. At glucose1h, glucose2h and insulin2h point, the difference between QQ individuals and R84 allele carriers in PCOS women reached statistical significance during OGTT (p < 0.05).</p> <p>Conclusions</p> <p>TRB3 Q84R polymorphism is associated with obesity and especially glucose metabolism and not associated with polycystic ovary syndrome because of compositional characteristics of phenotype in Chinese PCOS women.</p

    The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies

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    The tribe Triticeae provides important staple cereal crops and contains elite wild species with wide genetic diversity and high tolerance to abiotic stresses. Sea barleygrass (Hordeum marinum Huds.), a wild Triticeae species, thrives in saline marshlands and is well known for its high tolerance to salinity and waterlogging. Here, a 3.82-Gb high-quality reference genome of sea barleygrass is assembled de novo, with 3.69 Gb (96.8%) of its sequences anchored onto seven chromosomes. In total, 41 045 high-confidence (HC) genes are annotated by homology, de novo prediction, and transcriptome analysis. Phylogenetics, non-synonymous/synonymous mutation ratios (Ka/Ks), and transcriptomic and functional analyses provide genetic evidence for the divergence in morphology and salt tolerance among sea barleygrass, barley, and wheat. The large variation in post-domestication genes (e.g. IPA1 and MOC1) may cause interspecies differences in plant morphology. The extremely high salt tolerance of sea barleygrass is mainly attributed to low Na+ uptake and root-to-shoot translocation, which are mainly controlled by SOS1, HKT, and NHX transporters. Agrobacterium-mediated transformation and CRISPR/Cas9-mediated gene editing systems were developed for sea barleygrass to promote its utilization for exploration and functional studies of hub genes and for the genetic improvement of cereal crops

    Can unconscious knowledge allow control in sequence learning?

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    This paper investigates the conscious status of both the knowledge that an item is legal (judgment knowledge) and the knowledge of why it is legal (structural knowledge) in sequence learning. We compared ability to control use of knowledge (Process Dissociation Procedure) with stated awareness of the knowledge (subjective measures) as measures of the conscious status of knowledge. Experiment 1 showed that when people could control use of judgment knowledge they were indeed conscious of having that knowledge according to their own statements. Yet Experiment 2 showed that people could exert such control over the use of judgment knowledge when claiming they had no structural knowledge: i.e. conscious judgment knowledge could be based on unconscious structural knowledge. Further implicit learning research should be clear over whether judgment or structural knowledge is claimed to be unconscious as the two dissociate in sequence learning

    Does Prototype Category Learning Include Declarative Memory?

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    PURPOSE: The present study aims to investigate whether both A/B and A/not A tasks of prototype category learning include declarative memory. METHODS: To address this issue, cartoon animals varied along 10 binary dimensions were adopted as stimuli, and participants were asked to complete either an A/B task or an A/not A task in either the single condition or the dual condition. For the A/B task, participants were asked to indicate which category the stimulus belonged to, and then the feedback of the correctness was provided during training. The test phase was the same as training except there was no feedback. For the A/not A task, participants were asked to indicate how likable the stimulus was, and then the feedback of the likeability rated by others was provided during training. In the test phase, participants were asked to indicate whether the stimulus belonged to the category they saw before. In the dual condition, participants were asked to complete the categorization task and the additional Sternberg memory scanning task. On each trial, they were asked to memorize 4 digits before categorization, and then recognized them after categorization. RESULTS: The results showed that the accuracy was significantly higher than chance for both tasks in either the single or the dual condition and the accuracy was significantly higher in the single condition than in the dual condition for both tasks. That is, although the secondary working memory task reduced performance in the two tasks of prototype category learning, but it could not eliminate category leaning in both tasks. CONCLUSIONS: The results indicated that declarative memory might be involved in prototype category learning, but it does not play a crucial role in prototype category learning.</p

    Word Familiarity Modulates the Interference Effects of Mind Wandering on Semantic and Reafferent Information Processing

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    It has been found that mind wandering interferes with the sensory and cognitive processing of widespread stimuli. However, it remains unclear what factors can modulate the magnitude of the interference effects of mind wandering. Here, we investigate whether and how word familiarity modulates the interference effects of mind wandering on semantic and reafferent information processing. High- and low-frequency words were used as stimuli to induce high- and low-familiarity contexts in a sustained attention to response task, in which participants were required to respond to Chinese nonanimal words (nontarget) and withhold responses to Chinese animal words (target) as well as to intermittently report whether their state was "on task" or "off task." Behavioral results revealed lower reaction stability for both high- and low-frequency nontarget words preceding "off-task" reports than those preceding "on-task" reports. However, ERP results revealed that low-frequency rather than high-frequency words elicited more negative N400, attenuated late positive complex, and attenuated reafferent potential for "off-task" reports than for "on-task" reports. The results suggest that mind wandering makes semantic extraction and integration more difficult for unfamiliar but not familiar two-character Chinese words and attenuates the reafferent feedback of the motor response. These findings are consistent with the decoupling hypothesis of mind wandering and provide the first neural evidence for how familiarity with external stimuli modulates the interference effects of mind wandering
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