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Search · four archives
23 papers · ranked by Valyu relevance
Jonas Schäfer, Timo Reuter, Miriam Leuchter
Spatial skills are essential cognitive abilities that develop during middle childhood and play a crucial role in solving STEM problems. In this relation, however, important aspects of problem-solving performance remain underexplored. Consequently, this study investigated whether spatial skills contribute to solution…
Alyssa Unell, Zachary M. Eisenstat, Ainsley Braun, Abhinav Gandhi + 3 more
Towards the larger goal of understanding factors relevant for improving visuo-motor control, we investigated the role of visual feedback for modulating the effectiveness of a simple hand-eye training protocol. The regimen comprised a series of curve tracing tasks undertaken over a period of one week by neurologically…
Jennapher Lingo VanGilder, Keith R. Lohse, Kevin Duff, Peiyuan Wang + 1 more
Age-related declines in motor learning may be related to poor visuospatial function. Thus, visuospatial testing could evaluate older adults’ potential for motor learning, which has implications for geriatric motor rehabilitation. To this end, the purpose of this study was to identify which visuospatial test is most…
Alyssa Unell, Zachary M. Eisenstat, Ainsley Braun, Abhinav Gandhi + 3 more
'Sharon Gilad-Gutnick' 'Shlomit Ben-Ami' 'Pawan Sinha'] Towards the larger goal of understanding factors relevant for improving visuo-motor control, we investigated the role of visual feedback for modulating the effectiveness of a simple hand-eye training protocol. The regimen comprised a series of curve tracing tasks…
Demetriou, Yiannos, Parikh, Manasvi + 6 more
—Background: Spatial reasoning has been identified as a critical skill for success in STEM. Unfortunately, underrepresented groups often have lower incoming spatial ability. Courses that improve spatial skills exist but are not widely used. Virtual reality (VR) has been suggested as a possible tool for teaching spatial…
Alex Hodgkiss, Katie A. Gilligan, Andrew K. Tolmie, Michael S. C. Thomas + 1 more
Large-scale longitudinal studies spanning the past 50 years provide convincing evidence that spatial ability in adolescence predicts later science, technology, engineering, and mathematics (STEM) achievement (Lubinski & Benbow, [bjep12211-bib-0028]; Wai, Lubinski, & Benbow, [bjep12211-bib-0049]). In addition to often…
Goldy Yadav, Rahul Pal, Shraddha Matkar, Neeraj Kumar
Newly acquired skill memory can generalize/transfer to the untrained arm. Such interlimb generalization of a learned skill has been shown to be symmetric in nature and is thought to be mediated by cognitive processes that emerge during skill learning. However, it is unknown whether engaging in other cognitively…
Katja I. Paul, Karsten Müller, Paul-Noel Rousseau, Annegret Glathe + 5 more
Performing endovascular medical interventions safely and efficiently requires a diverse set of skills that need to be practised in dedicated training sessions. Here, we used multimodal magnetic resonance (MR) imaging to determine the structural and functional plasticity and core skills associated with skill…
Kinnari Atit, David H. Uttal, Mike Stieff
Spatial skills are an important component of success in science, technology, engineering, and math (STEM) fields. A majority of what we know about spatial skills today is a result of more than 100 years of research focused on understanding and identifying the kinds of skills that make up this skill set. Over the last…
Lior Shmuelof, John W. Krakauer
Improvements in task performance following practice can occur as a result of changes in distinct cognitive and neural processes. In some cases, we can improve our performance by selecting a more successful behavior that is already part of our available repertoire. Skill learning, on the other hand, refers to a slower…
Maëlle Guyoton, Giulio Matteucci, Charlie G. Foucher, Sami El-Boustani
In an environment full of complex multisensory stimuli, flexible and effective behaviors rely on our ability to transfer learned associations across sensory modalities. Here we explored the intertwined cortical representations of visual and whisker tactile sensations in mice and their role in cross-modal transfer…
Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan + 1 more
'Martin Jägersand'] Abstract— We study the problem of learning manipulation skills from human demonstration video by inferring the association relationships between geometric features. Motivation for this work stems from the observation that humans perform eye-hand coordination tasks by using geometric primitives to…
Tianyi Ma, Yue Zhang, Zehao Wang, Parisa Kordjamshidi
Vision-and-Language Navigation (VLN) poses significant challenges for agents to interpret natural language instructions and navigate complex 3D environments. While recent progress has been driven by large-scale pre-training and data augmentation, current methods still struggle to generalize to unseen scenarios…
Goldy Yadav, Julie Duque
Humans have an exceptional ability to execute a variety of skilled movements. Researchers have been long interested in understanding behavioral and neurophysiological basis of human motor skill learning for advancing both fundamental neuroscientific knowledge and clinical outcomes. However, despite decades of work in…
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
—Integrating robots in complex everyday environments requires a multitude of problems to be solved. One crucial feature among those is to equip robots with a mechanism for teaching them a new task in an easy and natural way. When teaching tasks that involve sequences of different skills, with varying order and number…
Daniel Weitekamp, Christopher MacLellan, Erik Harpstead, Kenneth Koedinger
'Kenneth Koedinger'] Human learning relies on specialization—distinct cognitive mechanisms working together to enable rapid learning. In contrast, most modern neural networks rely on a single mechanism: gradient descent over an objective function. This raises the question: might human learners' relatively rapid…
Jinwoo Choi, Seung-Woo Seo
Reinforcement learning (RL) has made significant progress in various domains, but scaling it to long-horizon tasks with complex decision-making remains challenging. Skill learning attempts to address this by abstracting actions into higherlevel behaviors. However, current approaches often fail to recognize semantically…
Megha Srivastava, Erdem Bıyık, Suvir Mirchandani, Noah D. Goodman + 1 more
'Dorsa Sadigh'] Recent works on shared autonomy and assistive-AI technologies, such as assistive robot teleoperation, seek to model and help human users with limited ability in a fixed task. However, these approaches often fail to account for humans' ability to adapt and eventually learn how to execute a control task…
Edward Baggs, Vicente Raja, Michael L. Anderson
Within the ecological and enactive approaches in cognitive science, a tension exists in how the process of skill learning is understood. Skill learning can be understood in a narrow sense, as a process of bodily change over time, or in an extended sense, as a change in the structure of the animal-environment system. We…
Krishn Bera, Tejas Savalia, Raju S. Bapi
— There have been numerous attempts in explaining the general learning behaviours by various cognitive models. Multiple hypotheses have been put further to qualitatively argue the best-fit model for motor skill acquisition task and its variations. In this context, for a discrete sequence production (DSP) task, one of…
Authors not listed
Predicting protein-ligand binding affinity from three-dimensional (3D) structural data is a central task in structure-based drug discovery, yet it remains challenging due to limited data availability, structural complexity, and the sparse nature of 3D molecular representations. In this study, we investigate the…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Lucie Denisart, Diana Zapata-Dominguez, Xavier David, Aubin Leclere + 5 more
The manufacturing process of batteries can be complex and time-consuming. We introduce a new version of the digital twin of our lithium ion battery pilot line, Simubat 4.0 Gen-2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium-ion battery…