Jiaxin Cui

• Beijing Normal University

The relationship between working memory and mathematical computations is intricate, with specific working memory subsystems (phonological loop and visuospatial sketchpad) making selective contributions to different types of calculations (multiplication and subtraction). Here, we employed a dual-task paradigm to systematically examine the relationsh...

Formal education would promote symbolic number processing ability, but the relationship between non‐symbolic number sense and mathematical education remains controversial. The current investigation hypothesized that non‐symbolic number sense is independent from the limited human experience of mathematical education, while symbolic number processing...

Arithmetic fluency is considered considers highly rely on language processing, encompassing essential skills. However, the independent predictive power of phonetic, semantic, or orthographic skills in relation to arithmetic fluency remains an unresolved query. This study introduces the common component hypothesis to elucidate the inconsistent findi...

The association between language and mathematics is an important debated topic. Here, we proposed a structure correspondence hypothesis to explain under what conditions language and mathematics are closely related. According to the hypothesis, there would be an association when they have equivalent structure. One hundred and fifty high school stude...

Background When mathematical knowledge is expressed in general language, it is called verbalized mathematics. Previous studies on verbalized mathematics typically paid attention to mathematical vocabulary or educational practice. However, these studies did not exclude the role of symbolic mathematics ability, and almost no research has focused on v...

Problem-solving skills are very important in our daily life. Almost all problem-solving studies have addressed the cognitive correlates of solving closed problems, but only limited studies have investigated the cognitive mechanisms of solving open problems. The current study aimed to systematically examine differences between the cognitive mechanis...

Students' ability to solve mathematical problems is a standard mathematical skill; however, its cognitive correlates are unclear. Thus, this study aimed to examine whether spatial processing (mental rotation, paper folding, and the Corsi blocks test) and logical reasoning (abstract and concrete syllogisms) were correlated with mathematical problem-...

The mathematics achievement of minority students has always been a focal point of educators in China. This study investigated the differences in mathematics achievement between Han and minority pupils to determine if there is any cognitive mechanism that can account for the discrepancy. We recruited 236 Han students and 272 minority students (inclu...

Background: Mathematical expressions mainly include arithmetic (such as 8 − (1 + 3)) and algebra (such as a − (b + c)). Previous studies have shown that both algebraic processing and arithmetic involved the bilateral parietal brain regions. Although previous studies have revealed that algebra was dissociated from arithmetic, the neural bases of the...

Studies have shown that numerosity‐based arithmetic training can promote arithmetic learning in typically developing children as well as children with developmental dyscalculia (DD), but the cognitive mechanism underlying this training effect remains unclear. The main aim of the current study was to examine the role of visual form perception in ari...

The cover image is based on the Original Article Short‐term numerosity training promotes symbolic arithmetic in children with developmental dyscalculia: the mediating role of visual form perception. Studies have shown that numerosity‐based arithmetic training can promote arithmetic learning in typically developing children as well as children with...

Objective: The present study used complex approximate and exact arithmetic computation problems to dissociate the brain networks for strategy-based approximate computation and procedure-based exact computation. Method: Twenty-eight college students were scanned with MRI while they were solving complex approximate and exact computation problems,...

Although numerous studies have shown that brain regions around the intraparietal sulcus play an important role in general mathematical or numerical processing, little is known about the specific neural correlates for processing mathematical principles. In the present study, we compared the activation intensity, multi-voxel activation patterns, and...

Brain-behavior correlations are commonly used to explore the associations between the brain and human behavior in cognitive neuroscience studies. There are many critics of the correlation approach, however. Most problems associated with correlation approaches originate in the weak statistical power of traditional correlation procedures (i.e., the m...

A number of studies have investigated the cognitive deficits underlying dyslexia and dyscalculia. Yet, it remains unclear as to whether dyslexia and dyscalculia are associated with the common visual perception deficits. The current investigation analyzed cognitive performance in children with dyslexia, dyscalculia, comorbidity, and typically develo...

The study investigated cross‐cultural differences in variability and average performance in arithmetic, mathematical reasoning, symbolic and non‐symbolic magnitude processing, intelligence, spatial ability, and mathematical anxiety in 890 6‐ to 9‐year‐old children from the United Kingdom, Russia, and China. Cross‐cultural differences explained 28%...

Table S2. Descriptive statistics on raw scores for all tasks ‐ UK, Russian & Chinese samples.

Table S1. The Revised Mathematics Anxiety Rating Scale (RMARS) in English.

Table S4. ANOVA results on raw (uncorrected) scores.

Table S3. Sex differences for all tasks per country.

Table S5. ANOVA results on scores corrected for Mental rotation.

Numerous studies have shown that the brain regions around bilateral intraparietal cortex are critical for number processing and arithmetical computation. However, the neural circuits for more advanced mathematics such as mathematical problem solving (with little routine arithmetical computation) remain unclear. Using functional magnetic resonance i...

Numerous studies have assessed the cognitive correlates of performance in mathematics, but little research has been conducted to systematically examine the relations between visual perception as the starting point of visuospatial processing and typical mathematical performance. In the current study, we recruited 223 seventh graders to perform a vis...

Rapid Automatized Naming (RAN) has been found to predict mathematics. However, the nature of their relationship remains unclear. Thus, the purpose of this study was two-fold: (a) to examine how RAN (numeric and non-numeric) predicts a sub-domain of mathematics (arithmetic fluency), and (b) to examine what processing skills may account for the RAN-a...

Rapid Automatized Naming (RAN) has been found to predict mathematics. However, the nature of their relationship remains unclear. Thus, the purpose of this study was two-fold: (a) to examine how RAN (numeric and non-numeric) predicts a subdomain of mathematics (arithmetic fluency), and (b) to examine what processing skills may account for the RAN-ar...

This study investigated whether numerical processing was important for two types of mathematical competence: arithmetical computation and mathematical reasoning. Thousand eight hundred and fifty-seven Chinese primary school children in third through sixth grades took eight computerised tasks: numerical processing (numerosity comparison, digit compa...

Studies have found that spatial-numerical associations could extend to arithmetic. Addition leads to rightward shift in spatial attention while subtraction leads to leftward shift (e.g., Knops et al. 2009; McCrink et al. 2007; Pinhas & Fischer 2008), which is consistent with the hypothesis of static mental number line (MNL) for arithmetic. The curr...

Previous studies have demonstrated existence of a mental line for symbolic numbers (e.g., Arabic digits). For nonsymbolic number systems, however, it remains unresolved whether a spontaneous spatial layout of numerosity exists. The current experiment investigated whether SNARC-like (Spatial-Numerical Association of Response Codes) effects exist in...

Studies have shown that numerosity processing (e.g., comparison of numbers of dots in two dot arrays) is significantly correlated with arithmetic performance. Researchers have attributed this association to the fact that both tasks share magnitude processing. The current investigation tested an alternative hypothesis, which states that visual perce...

Efficient encoding of Roman rules is based on the neural bases of mathematical cognitive abilities. The present imaging studies have shown that information granule representing a form of Roman rules is associated with arithmetical domain-sensitive parietal cortex, indicating a switch from the data to the information granule retrieval of memory rule...

Objective: Classifiers play an important role in describing the quantity information of objects. Few studies have been conducted to investigate the brain organization for quantity processing of classifiers. In the current study, we investigated whether activation of numeral classifiers was specific to the bilateral inferior parietal areas, which a...

To explore some mechanisms of generalization in concept formation, we build a three-layer neural network with feedback and Hebbian learning rules. Using binary sequences as input, we simulate the generalization process from multiple examples to a concept. After tens of training, the outputs of the network will converge to stable states which denote...

SOMs have been successfully applied in various fields. In this paper, we proposed an expanded SOM model for word learning which is a classic problem in cognitive science. In spite of simple computation of this model, the simulation results are consistent with the conclusion of the newest Bayesian model in the same learning cases. It implies that th...

The functions of neural system, such as learning, recognition and memory, are the emergences from the elementary dynamic mechanisms. To discuss how the dynamic mechanisms in the neurons and synapses work in the function of recognition, a dynamic neural circuit is designed. In the neural circuit, the information is expressed as the inter-spike inter...

The cognition and learning of Chinese characters is a good example of human visual perception and learning. The synchronization behavior between neuronal groups in cortical areas is one of the core mechanisms in visual image perception and recognition. We built a neural network with locally coupled Wilson-Cowan oscillators to learn Chinese characte...

The formation of concepts is a key point in development of human intelligence. There are two kinds of traditional ideas about this problem: hypothesis elimination and associative learning. The Bayesian framework suggested by Tenenbaum absorbs the virtue and avoids the limitations of the two traditional ideas and its results are demonstrated by beha...

Acquisition of abstract concept is the key step in human intelligence development, but the neural mechanism of concept formation is not clear yet. Researches on complexity and self organization theory indicate that concept is a result of emergence of neural system and it should be represented by an attractor. Associative learning and hypothesis eli...