25 papers · ranked by Valyu relevance
Egor Levchenko, Hugo Chow-Wing-Bom, Fred Dick, Adam Tierney + 1 more
We provide a multimodal naturalistic neuroimaging database (NNDb-3T+), designed to support the study of brain function under both naturalistic and controlled experimental conditions. The database includes high-quality 3T fMRI data from 40 participants acquired during full-length movie-watching and three sensory mapping…
Benjamin M. Knisely, Janell S. Joyner, Monifa Vaughn-Cooke
Automation can be utilized to relieve humans of difficult and repetitive tasks in many domains, presenting the opportunity for safer and more efficient systems. This increase in automation has led to new supervisory roles for human operators where humans monitor feedback from autonomous systems and provide input when…
Yaroslav Chekin, Dakota Decker, Julien Dubois, Ryan M. Field + 8 more
Quantifying functional brain aging trajectories at scale remains a fundamental challenge due to the scanner-bound limitations of traditional neuroimaging. Here, we deploy whole-head Time-Domain functional Near-Infrared Spectroscopy (TD-fNIRS) to map task-evoked cortical dynamics during a 30-minute cognitive battery…
Vida Ana Politakis, Anka Slana Ozimič, Grega Repovš
Meeting everyday challenges and responding in a goal-directed manner requires both the ability to maintain the current task set in face of distractors-stable cognitive control, and the ability to flexibly generate or switch to a new task set when environmental requirements change-flexible cognitive control. While…
Satoe Ichihara-Takeda, Kazuyoshi Takeda, Nozomu Ikeda, Kiyoji Matsuyama + 1 more
'Kiyoji Matsuyama' 'Shintaro Funahashi'] Recent studies have indicated that computerized cognitive training is effective as therapy for reducing the cognitive decline with aging and the dysfunction associated with neuropsychiatric illness. Although cognitive trainings that targets a specific function and multi-domain…
Maxime Adolphe, Masataka Sawayama, Denis Maurel, Alexandra Delmas + 2 more
Cognitive test batteries are widely used in diverse research fields, such as cognitive training, cognitive disorder assessment, or brain mechanism understanding. Although they need flexibility according to their usage objectives, most test batteries are not available as open-source software and are not be tuned by…
Karin de Langis, Jong Inn Park, Bin Hu, Khanh Le + 4 more
'Michael C. Mensink' 'Andrew Elfenbein' 'Dongyeop Kang'] Emergent cognitive abilities in large language models (LLMs) have been widely observed, but their nature and underlying mechanisms remain poorly understood. A growing body of research draws on cognitive science to investigate LLM cognition, but standard…
Matthew Russell, Samuel Youkeles, William Xia, Kenny Zheng + 2 more
'Aman Shah' 'Robert J. K. Jacob'] © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or…
Iseult A. Cremen, Richard G. Carson
In the past decade, there has emerged a vast research literature dealing with attempts to harness brain plasticity in older adults, with a view to improving cognitive function. Since cognitive training (CT) has shown restricted utility in this regard, attention has increasingly turned to interventions that use adjunct…
Shijie Qu, Yueyue Lydia Qu, Kwangsun Yoo, Marvin M. Chun
Cognitive control, the ability to adapt thoughts and actions to shifting contexts and goals, is composed primarily of three distinct yet interrelated components: Inhibition, Shifting, and Updating. While prior research has examined the nature of different cognitive components as well as their inter-relationships, fewer…
Vishnu KN, Cota Navin Gupta
—This article summarizes a systematic review of the electroencephalography (EEG) - based cognitive workload (CWL) estimation. The focus of the article is two-fold, identify the disparate experimental paradigms used for reliably eliciting discreet and quantifiable levels of cognitive load and the specific nature and…
Jose A. Rodas, Afroditi A. Asimakopoulou, Ciara M. Greene
Meta-analyses have found that working memory (WM) can be improved with cognitive training; however, some authors have suggested that these improvements are mostly driven by biases in the measurement of WM, especially the use of similar tasks for assessment and training. In the present meta-analysis, we investigated…
Eun Jin Kim, Yong-Chun Bahk, Hyeonju Oh, Won-Hye Lee + 2 more
Cognition is an important factor that affects daily functioning and quality of life. Impairment in cognitive function is a common symptom present in various psychological disorders, which hinders patients from functioning normally. Given that cognitive impairment has devastating effects, enhancing this in patients…
Ali Darejeh, Nadine Marcusa, Gelareh Mohammadi, John Sweller
the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction Authors: ['Ali Darejeh' 'Nadine Marcusa' 'Gelareh Mohammadi' 'John Sweller'] Usability testing is an essential part of product design, particularly for user interfaces. To enhance the reliability of usability…
Seyed-Mahdi Khaligh-Razavi, Sina Habibi, Maryam Sadeghi, Haniye Marefat + 4 more
Various mental disorders are accompanied by some degree of cognitive impairment. Particularly in neurodegenerative disorders, cognitive impairment is the phenotypical hallmark of the disease. Effective, accurate and timely cognitive assessment is key to early diagnosis of this family of mental disorders. Current…
Sharmin, Shayla, Abrar, Mohammad Fahim + 6 more
Cognitive effort (CE) refers to the level of cognitive load which is an individual experiences while learning [11, [22]]. Cognitive load refers to how much the brain is working during a task [11, 17, [40]]. In many cases, we see that cognitive load becomes high, but this increase alone does not clearly tell us whether…
Anubhav Bhatti, Prithila Angkan, Behnam Behinaein, Zunayed Mahmud + 10 more
'Dirk Rodenburg' 'Heather Braund' 'P. James Mclellan' 'Aaron J. Ruberto' 'G. L. Abby Harrison' 'D G Wilson' 'Adam Szulewski' 'Dan Howes' 'Ali Etemad' 'Paul Hungler'] Abstract—We present a novel multimodal dataset for Cognitive Load Assessment in REaltime (CLARE). The dataset contains physiological and gaze data from 24…
Aaron Cochrane, Vanessa Simmering, C. Shawn Green, Carol L. Cheatham
Human fluid intelligence emerges from the interactions of various cognitive processes. Although some classic models characterize intelligence as a unitary “general ability,” many distinct lines of research have suggested that it is possible to at least partially decompose intelligence into a set of subsidiary cognitive…
M.N. Hebart, B.B. Bankson, A. Harel, C.I. Baker + 1 more
Object recognition is commonly described as a feedforward process, yet the tasks we carry out often affect what information in visual stimuli is diagnostic and may influence their processing. Surprisingly little is known about how task context is processed and when and how it interacts with the emerging representation…
Tasnim Irtifa Chowdhury, Andrew Vargo, Chris Blakely, Benjamin Tag + 1 more
'Koichi Kise'] In Human-Computer Interaction (HCI) and Ubiquitous Computing, the objective of optimizing device interactions and personalizing user experiences has placed a new emphasis on accurately evaluating cognitive readiness using wearable devices. Interpreting cognitive readiness in real-world scenarios is…
Authors not listed
In recent years, the development of large language models (LLMs) has revolutionized various fields of natural science, yet their application in molecular data processing remains constrained due to the reliance on single-modality inputs and outputs. To bridge the gap between experimenters and computational tools, we…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…
Rumiana Tenchov, Janet Sasso, Qiongqiong Angela Zhou
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. The pathology of AD is marked by the accumulation of amyloid-beta plaques and tau protein tangles in brain, along with neuroinflammation and synaptic dysfunction. Genetic…
Authors not listed
TIMP2 (Tissue Inhibitor of Metalloproteinase-2) plays a crucial role in hippocampal neuroplasticity and cognitive function through MMP-independent signaling. Despite its therapeutic promise, TIMP2 has long been considered 'undruggable' due to its cryptic surface topology and lack of canonical active sites. We present a…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…