20 papers · ranked by Valyu relevance
Biranavan Uthayakumar, Nicole I.C. Cappelletto, Nadia D. Bragagnolo, Albert P. Chen + 9 more
Hyperpolarized-^13^C magnetic resonance imaging (HP-^13^C MRI) was used to image changes in ^13^C-lactate signal during a visual stimulus condition in comparison to an eyes-closed control condition. Whole-brain ^13^C-pyruvate, ^13^C-lactate and ^13^C-bicarbonate production was imaged in healthy volunteers (N=6, ages…
Johan Nakuci, Jiwon Yeon, Nadia Haddara, Ji-Hyun Kim + 2 more
Meaningful variation in internal states that impacts cognition and behavior remains challenging to discover and characterize. Here we leveraged trial-to-trial fluctuations in the brain-wide signal recorded using functional MRI to test if distinct sets of brain regions are activated on different trials when…
Soren J. Madsen, Young‐Eun Lee, Shaun K. L. Quah, Lucina Q. Uddin + 7 more
Deep learning models have demonstrated the potential to predict task-evoked brain activation from resting-state functional magnetic resonance imaging, offering a pathway toward individualized brain mapping without requiring task-based data. In this study, we systematically evaluate architectural strategies for…
Kazuma Nagashima, Jumpei Nishikawa, Junya Morita
Immersion in a task is a prerequisite for creativity. However, excessive arousal in a single task has drawbacks, such as overlooking events outside of the task. To examine such a negative aspect, this study constructs a computational model of arousal dynamics where the excessively increased arousal makes the task…
Jen Lewis, Kevin Gurney
The performance of routine action sequences constitutes a significant proportion of human behaviour, and has received much attention in the cognitive psychology literature. However, a neuroanatomically plausible explanation of the cognitive processes underlying this routine sequential behaviour has hitherto remained…
Benjamin David Winter, William John Teahan
—Activation functions play a critical role in the performance and behaviour of neural networks, significantly impacting their ability to learn and generalise. Traditional activation functions, such as ReLU, sigmoid, and tanh, have been widely used with considerable success. However, these functions may not always…
Mahdi Naser-Moghadasi, Faezeh Ghaderi
This paper presents a comprehensive analysis of neural activation patterns across six distinct large language model (LLM) architectures, examining their performance on twelve cognitive task categories. Through systematic measurement of final activation values, attention entropy, and sparsity patterns, we reveal…
Philip N. Tubiolo, John C. Williams, Jared X. Van Snellenberg
In studying the neural correlates of working memory (WM) ability via functional magnetic resonance imaging (fMRI) in health and disease, it is relatively uncommon for investigators to report associations between brain activation and measures of task performance. Additionally, how the choice of WM task impacts observed…
Swati M. Surkar, Chia-Cheng Lin, Brittany Trotter, Tyler Phinizy + 2 more
Dual-task (DT) training, which involves the simultaneous execution of cognitive and motor tasks, has been shown to influence task performance and cortical activation, yet evidence on the effects of DT training and cortical activation for complex postural control tasks remains limited. This study investigated the…
José A. Periáñez, Raquel Viejo-Sobera, Genny Lubrini, Juan Álvarez-Linera + 6 more
Preparatory control in task-switching has been suggested to rely upon a set of distributed regions within a frontoparietal network, with frontal and parietal cortical areas cooperating to implement switch-specific preparation processes. Although recent causal evidences using transcranial magnetic stimulation (TMS) have…
Mart Lubbers, Pieter Koopman, Rinus Plasmeijer
The Internet of Things (IoT) is growing fast. In 2018, there was approximately one connected device per person on earth and the number has been growing ever since. The devices interact with the environment via different modalities at the same time using sensors and actuators making the programs parallel. Yet, writing…
Chang Yoon Baek, Hyeong Dong Kim, Dong Yup Yoo, Kyoung Yee Kang + 2 more
'Jang Woo Lee' 'Noman Naseer'] As individuals age, they may experience a decline in gait automaticity, which requires increased attentional resources for the control of gait. This age-related decline in gait automaticity has been shown to contribute to higher prefrontal cortex (PFC) activation and lower dual-task…
Wojciech Dudek, Daniel Giełdowski, Tomasz Winiarski
tasks Authors: ['Wojciech Dudek' 'Daniel Giełdowski' 'Tomasz Winiarski'] Abstract—Service robots work in a changing environment habited by exogenous agents like humans. In the service robotics domain, lots of uncertainties result from exogenous actions and inaccurate localisation of objects and the robot itself. This…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
Connor Taylor, Kobi Felton, Daniel Wigh, Mohammed Jeraal + 4 more
Functionalization of C–H bonds is a key challenge in medicinal chemistry, particularly for fragment-based drug discovery (FBDD) where such transformations need to be executed in the presence of polar functionality necessary for fragment-protein binding. New technologies such as high-throughput experimentation and…
Xinchen HE, Quoc Bao Pham, Yi CHEN, Yuyao GUO
Hydrogen is a widely used reductive reagent in organic synthesis. The direct reactions between dihydrogen and other organic compounds are very difficult, due to the high stability of hydrogen molecules. To solve this problem, some strategies for dihydrogen activation have been developed. In this review, we are going to…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…
Yaxin Liu, Can Wang, Yan Liu, Wenlong Tong + 2 more
'Mohammad Osman Tokhi'] To reduce the burden on individuals with disabilities when operating a Wheelchair Mounted Robotic Arm (WMRA), many researchers have focused on inferring users’ subsequent task intentions based on their “gazing” or “selecting” of scene objects. In this paper, we propose an innovative intention…
Sai Mahit Vadaddi, Qiyuan Zhao, Brett M Savoie
Activation energy characterization of competing reactions is a costly, but crucial step for understanding the kinetic relevance of distinct reaction pathways, product yields, and myriad other properties of reacting systems. The standard methodology for activation energy characterization has historically been a…
Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas + 4 more
'Sebastian Höffner' 'Michael Beetz' 'Rainer Malaka' 'John Bateman'] Abstract. In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such tasks seem to be trivial for humans, however, they pose…