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Related papers: Structure of Working Memory in Children From 3 to …

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Working memory (WM), a fundamental cognitive process facilitating the temporary storage, integration, manipulation, and retrieval of information, plays a vital role in reasoning and decision-making tasks. Robust benchmark datasets that…

Neurons and Cognition · Quantitative Biology 2023-11-02 Ankur Sikarwar , Mengmi Zhang

Objectives: Several studies have focused on the role of working memory (WM) in predicting mathematical and reading literacy. Alternative models of WM have been proposed and a modality-dependent model of WM, distinguishing between verbal and…

History and Overview · Mathematics 2022-01-04 David Giofrè , Enrica Donolato , Irene C. Mammarella

Working memory, or the ability to hold and manipulate information in the mind, is a critical component of human intelligence and executive functioning. It is correlated with performance on various cognitive tasks, including measures of…

Computation and Language · Computer Science 2025-12-01 Karin de Langis , Jong Inn Park , Bin Hu , Khanh Chi Le , Andreas Schramm , Michael C. Mensink , Andrew Elfenbein , Dongyeop Kang

There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few behavioral paradigms adapted from the adult literature. Here, we leverage recent…

Neurons and Cognition · Quantitative Biology 2025-12-23 Arthur Aubret , Jochen Triesch

Program tracing, or mentally simulating a program on concrete inputs, is an important part of general program comprehension. Programs involve many kinds of virtual state that must be held in memory, such as variable/value pairs and a call…

Human-Computer Interaction · Computer Science 2021-01-19 Will Crichton , Maneesh Agrawala , Pat Hanrahan

Large language models possess general linguistic abilities but acquire language less efficiently than humans. This study proposes a method for integrating the developmental characteristics of working memory during the critical period, a…

Computation and Language · Computer Science 2025-06-03 Masato Mita , Ryo Yoshida , Yohei Oseki

Memory plays a pivotal role in enabling large language model~(LLM)-based agents to engage in complex and long-term interactions, such as question answering (QA) and dialogue systems. While various memory modules have been proposed for these…

Computation and Language · Computer Science 2024-12-23 Ruihong Zeng , Jinyuan Fang , Siwei Liu , Zaiqiao Meng

Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans. Applying knowledge gained from psychological studies, we designed a new model called…

Machine Learning · Computer Science 2018-10-01 T. S. Jayram , Younes Bouhadjar , Ryan L. McAvoy , Tomasz Kornuta , Alexis Asseman , Kamil Rocki , Ahmet S. Ozcan

This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as…

Human-Computer Interaction · Computer Science 2024-03-25 Juan Carlos Ruiz-Garcia , Ruben Tolosana , Ruben Vera-Rodriguez , Julian Fierrez , Jaime Herreros-Rodriguez

The brain's white matter (WM) undergoes developmental and degenerative processes during the human lifespan. To investigate the relationship between WM anatomical regions and age, we study diffusion magnetic resonance imaging tractography…

Neurons and Cognition · Quantitative Biology 2023-07-06 Yuxiang Wei , Tengfei Xue , Yogesh Rathi , Nikos Makris , Fan Zhang , Lauren J. O'Donnell

Working memory (WM) allows information to be stored and manipulated over short time scales. Performance on WM tasks is thought to be supported by the frontoparietal system (FPS), the default mode system (DMS), and interactions between them.…

Neurons and Cognition · Quantitative Biology 2020-09-09 Andrew C. Murphy , Maxwell A. Bertolero , Lia Papadopoulos , David M. Lydon-Staley , Danielle S. Bassett

Modern language models (LMs) must be trained on many orders of magnitude more words of training data than human children receive before they begin to produce useful behavior. Assessing the nature and origins of this "data gap" requires…

Computation and Language · Computer Science 2026-04-01 Steven Y. Feng , Alvin W. M. Tan , Michael C. Frank

The working memory capacity (WMC) of 400 Russian college students was measured using the Tarnow Unchunkable Test [2] which tests WMC alone without requiring explicit working memory operations. We found small-sized WMC differences by gender…

Neurons and Cognition · Quantitative Biology 2017-03-23 Regina Ershova , Eugen Tarnow

Understanding of neuro-dynamics of a complex higher cognitive process, Working Memory (WM) is challenging. In WM, information processing occurs through four subsystems: phonological loop, visual sketch pad, memory buffer and central…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Pankaj , Jamuna Rajeswaran , Divya Sadana

The goal of this paper is to present a model of children's semantic memory, which is based on a corpus reproducing the kinds of texts children are exposed to. After presenting the literature in the development of the semantic memory, a…

Computation and Language · Computer Science 2008-12-18 Guy Denhière , Benoît Lemaire , Cédrick Bellissens , Sandra Jhean

The human brain is organized into large-scale functional modules that have been shown to evolve in childhood and adolescence. However, it remains unknown whether structural brain networks are similarly refined during development,…

This paper refers to an observational research that investigates preschool children's mental representations of robots. Our hypotheses were that: a) three to six years-old children think about robots as human-like entities, concerning to…

Computers and Society · Computer Science 2018-06-11 Camilla Monaco , Ornella Mich , Tiziana Ceol , Alessandra Potrich

Iteratively building and testing machine learning models can help children develop creativity, flexibility, and comfort with machine learning and artificial intelligence. We explore how children use machine teaching interfaces with a team…

Machine Learning · Computer Science 2021-09-29 Utkarsh Dwivedi , Jaina Gandhi , Raj Parikh , Merijke Coenraad , Elizabeth Bonsignore , Hernisa Kacorri

Executive function emerges late in development and displays different developmental trends in males and females. Sex differences in executive function in youth have been linked to vulnerability to psychopathology as well as to behaviors…

The vast majority of fMRI studies of task-related brain activity utilize common levels of task demands and analyses that rely on the central tendencies of the data. This approach does not take into account perceived difficulty nor regional…

Neurons and Cognition · Quantitative Biology 2021-10-14 Jason Steffener , Chris Habeck , Dylan Franklin , Meghan Lau , Yara Yakoub , Maryse Gad
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