Cognitive and developmental aspects of mathematical skills

This study investigates how the brain represents numerical information across different senses and formats using fMRI, finding consistent encoding in specific brain regions and a shift in representation factors along the intraparietal sulcus.

The paper shows that brain activity during arithmetic problem-solving becomes more similar to artificial neural network representations with age and problem size.

This study investigates how symbolic and non-symbolic numbers influence spatial perception in a number-line bisection task, finding distinct biases for each format.

This study examines how education and music training influence early abstraction abilities in children through behavioral experiments.

This paper develops a Bayesian model to uncover latent cognitive and affective processes in children's arithmetic problem-solving and shows it predicts academic outcomes and mediates the effects of anxiety.

This study examines neural differences in children with mathematics learning difficulties using fNIRS, finding no unified pattern but some distinct aberrancies in a subset of cases.

This study investigates how changes in stimulus features affect numerosity perception adaptation, finding that low-level feature changes, not novelty, reduce adaptation effects when changes are noticeable.

This study uses fNIRS to examine RSFC in children's brain regions linked to math ability and fluency, finding distinct neural patterns associated with arithmetic processing and problem-solving.

The paper shows number-selective neurons in zebrafish develop in a sequential order, with neurons for higher numbers appearing later and a decoder based on these neurons can predict visual numerosity.

This study investigates how the precision of neural representations of numerical distance correlates with arithmetic performance in children using fMRI and decoding techniques.

The paper identifies conceptual neural responses to symbolic numerals by analyzing EEG data from different stimulus sets and control conditions, showing that physical stimulus differences can influence brain responses.

This study investigates the mechanisms and EEG signature of average numerosity perception using dynamic stimuli and shows perceptual adaptation effects and early brain responses related to numerical judgments.

This study uses intracranial recordings to investigate the Triple Code Model of numerical cognition, finding distinct neural correlates for different numerical representations.

The paper investigates how numerical zero is encoded in the human brain, finding that both symbolic and non-symbolic representations of zero occupy ordinal positions on neural number lines.

This study uses ultra-high-field brain imaging to show that internally generated numerical outcomes are represented in higher-order brain regions during approximate calculation tasks.

The paper investigates sensorimotor mechanisms for numerosity by analyzing individual differences in number reproduction tasks, revealing two distinct numerical channels.

The paper demonstrates that newly-hatched chicks can discriminate quantities without prior experience, supporting the innateness of non-symbolic numerical cognition.

This study investigates the SNARC effect's processing stages using ERPs, finding interactions with Stroop and Simon effects that support a two-stage model involving representation and response-selection.

This study investigates structural brain connectivity differences in children with developmental dyscalculia using diffusion tensor imaging and finds reduced white matter coherence and shorter tract lengths in specific brain regions associated with math ability.

This study uses fMRI and artificial neural networks to show shared representations between ANN and BNN in mathematical operations, with deeper ANN layers improving decoding of novel operators.

This study conducts GWAS on 11 mathematical ability categories in Chinese children, identifying 7 genome-wide significant SNPs and replicating one SNP associated with division ability.

This study uses fMRI and encoding models to show that mathematical problems are represented in the brain in a format-invariant way, regardless of being presented in symbolic or natural language form.

This study uses fMRI to show that the IPS and language network in 3- to 5-year-olds support both numerosity and number word representations during counting acquisition.

The paper examines brain hemodynamic responses and structural differences in extremely preterm and full-term individuals solving fraction subtraction using different strategies.

This study uses fMRI to examine if short math videos change brain networks for mathematical knowledge, finding minimal lasting changes and engagement of domain-general regions instead.

The paper identifies number neurons in the caudal nidopallium of young domestic chicks, suggesting inborn numerosity perception in vertebrates.

This study presents a neural network model based on lateral inhibition that reproduces number-sensing effects in humans and animals, showing its essential role in untrained number sense.

This study examines the relationship between resting-state beta oscillations, working memory, number sense, and mathematical ability in children and adults, finding no mediation but highlighting differences in aperiodic activity.

The paper shows that naturalistic and laboratory arithmetic tasks activate overlapping brain regions in children and adults, specifically the intraparietal cortex, indicating it processes mathematical content regardless of task mode.

The paper investigates how disconnections in left-hemispheric brain areas, particularly the angular gyrus, affect arithmetic fact retrieval following stroke.