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Related papers: Cognitive Depletion in the Wild: a Case Study of N…

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We present the results of a user study with novice NMR analysts (N=19) involving a gamified simulation of the NMR analysis process. Participants solved randomly generated spectrum puzzles for up to three hours. We used eye tracking, event…

Human-Computer Interaction · Computer Science 2017-06-08 Lyndsey Franklin , Kyungsik Han , Zhuanyi Huang , Dustin Arendt , Nathan Hodas

In this work, we address the symptoms of cognitive depletion as they relate to generalized knowledge workers. We unify previous findings within a single analytical model of cognitive depletion. Our purpose is to develop a model that will…

Human-Computer Interaction · Computer Science 2017-06-07 Lyndsey Franklin , Kristina Lerman , Nathan Hodas

Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that records neural activations in the brain by capturing the blood oxygen level in different regions based on the task performed by a subject. Given fMRI data, the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-21 Ashish Jaiswal , Ashwin Ramesh Babu , Mohammad Zaki Zadeh , Fillia Makedon , Glenn Wylie

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept of application of deep learning and neural network for…

Medical Physics · Physics 2019-05-15 Xiaobo Qu , Yihui Huang , Hengfa Lu , Tianyu Qiu , Di Guo , Tatiana Agback , Vladislav Orekhov , Zhong Chen

Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common type, is highly complex in terms of etiology and…

Deficits in working memory, which includes both the ability to learn and to retain information short-term, are a hallmark of many cognitive disorders. Our study analyzes data from a neuroscience experiment on animal subjects, where…

Applications · Statistics 2025-12-23 Maria Laura Battagliola , Laura J. Benoit , Sarah Canetta , Shizhe Zhang , R. Todd Ogden

Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful analytical tool for studying molecular structure and dynamics in chemistry and biology. However, the processing of raw data acquired from NMR spectrometers and…

Quantitative Methods · Quantitative Biology 2023-09-15 Di Guo , Sijin Li , Jun Liu , Zhangren Tu , Tianyu Qiu , Jingjing Xu , Liubin Feng , Donghai Lin , Qing Hong , Meijin Lin , Yanqin Lin , Xiaobo Qu

Cognitive decline is a natural part of aging. However, under some circumstances, this decline is more pronounced than expected, typically due to disorders such as Alzheimer's disease. Early detection of an anomalous decline is crucial, as…

Redundancy is a ubiquitous property of the nervous system. This means that vastly different configurations of cellular and synaptic components can enable the same neural circuit functions. However, until recently very little brain disorder…

Neurons and Cognition · Quantitative Biology 2021-02-08 Beatriz E. P. Mizusaki , Cian O'Donnell

The close link between cognitive decline and language has fostered long-standing collaboration between the NLP and medical communities in dementia research. To examine this, we reviewed over 240 papers applying NLP to dementia-related…

Computation and Language · Computer Science 2025-02-11 Lotem Peled-Cohen , Roi Reichart

Nuclear magnetic resonance (NMR) spectroscopy provides unparalleled access to molecular structure and dynamics but is traditionally limited by weak signal strength, requiring large sample volumes and high magnetic fields. Here, we…

Applied Physics · Physics 2026-04-29 Dileep Singh , Riley W. Hooper , Christoph Findler , Utsab Banerjee , Dominik B. Bucher

Cognitive impairments in older adults represent a significant public health concern, necessitating accurate diagnostic and monitoring strategies. In this study, the principal cognitive and neuropsychological evaluations employed for the…

Neurons and Cognition · Quantitative Biology 2024-02-23 Chuang Li , Rubing Lin , Yantong Liu , Yichen Wei

Sleep stage classification is a widely discussed topic, due to its importance in the diagnosis of sleep disorders, e.g. insomnia. Analysis of the brain activity during sleep is necessary to gain further insight into the processing that…

Signal Processing · Electrical Eng. & Systems 2024-10-08 Alexander Edthofer , Iris Feldhammer , Thomas Fenzl , Andreas Körner , Matthias Kreuzer

Sleep is characterized by non-rapid eye movement (nREM) sleep, originating from widespread neuronal synchrony, and REM sleep, with neuronal desynchronization akin to waking behavior. While these were thought to be global brain states,…

Neurons and Cognition · Quantitative Biology 2024-05-29 Davor Curic , Surjeet Singh , Mojtaba Nazari , Majid H. Mohajerani , Joern Davidsen

Brain decoding involves the determination of a subject's cognitive state or an associated stimulus from functional neuroimaging data measuring brain activity. In this setting the cognitive state is typically characterized by an element of a…

Machine Learning · Statistics 2015-04-14 Nicole Croteau , Farouk S. Nathoo , Jiguo Cao , Ryan Budney

This report discusses the application of neural networks (NNs) as small segments of the brain. The networks representing the biological connectome are altered both spatially and temporally. The degradation techniques applied here are…

Neurons and Cognition · Quantitative Biology 2020-08-04 Jacob Adamczyk

To understand Working of Human Brain measurements related to the brain function are required. These measurements should be possibly non-invasive. Brain should be disturbed as less as possible during the measurement. Integration of various…

Emerging Technologies · Computer Science 2015-06-16 Revati Shriram , M. Sundhararajan , Nivedita Daimiwal

Early detection is crucial for timely intervention aimed at preventing and slowing the progression of neurocognitive disorder (NCD), a common and significant health problem among the aging population. Recent evidence has suggested that…

Computation and Language · Computer Science 2025-06-11 Yuejiao Wang , Xianmin Gong , Xixin Wu , Patrick Wong , Hoi-lam Helene Fung , Man Wai Mak , Helen Meng

Nuclear magnetic resonance (NMR) spectroscopy provides detailed information pertaining to dynamic processes through line-shape changes, which have been traditionally limited to equilibrium conditions. However, there is a wealth of…

Recently, neuronal avalanches have been observed to display oscillations, a phenomenon regarded as the co-existence of a scale-free behaviour (the avalanches close to criticality) and scale-dependent dynamics (the oscillations). Ordinary…

Disordered Systems and Neural Networks · Physics 2020-03-09 Johannes Pausch , Rosalba Garcia-Millan , Gunnar Pruessner
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