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A seizure's electrographic dynamics are characterised by its spatiotemporal evolution, also termed dynamical "pathway" and the time it takes to complete that pathway, which results in the seizure's duration. Both seizure pathways and…

N:M Structured sparsity has garnered significant interest as a result of relatively modest overhead and improved efficiency. Additionally, this form of sparsity holds considerable appeal for reducing the memory footprint owing to their…

Training large-scale deep learning models has become a key challenge for the scientific community and industry. While the massive use of GPUs can significantly speed up training times, this approach has a negative impact on efficiency. In…

Machine Learning · Computer Science 2025-09-04 David Cortes , Carlos Juiz , Belen Bermejo

The growing adoption of interactive learning tools in higher education offers new opportunities to enhance student performance and well-being. This study compares the effects of traditional and interactive learning methods on academic…

Human-Computer Interaction · Computer Science 2026-04-20 Siva Raja Sindiramutty

We consider a directed Barab\'{a}si-Albert scale-free network model with symmetric preferential attachment with the same in- and out-degrees, and study emergence of sparsely synchronized rhythms for a fixed attachment degree in an…

Neurons and Cognition · Quantitative Biology 2015-09-02 Sang-Yoon Kim , Woochang Lim

One-minute behavior change interventions might seem too brief to matter. Could something so short really help people build healthier routines? This work explores this question through two studies examining how ultra-brief prompts might…

Human-Computer Interaction · Computer Science 2025-08-14 Zahra Hassanzadeh , David Haag , Lydia Chilton , Jan Smeddinck , Norman Farb , Joseph Jay Williams

Short-term changes in efficacy have been postulated to enhance the ability of synapses to transmit information between neurons, and within neuronal networks. Even at the level of connections between single neurons, direct confirmation of…

Neurons and Cognition · Quantitative Biology 2012-04-30 Pat Scott , Anna I. Cowan , Christian Stricker

Group-based reinforcement learning algorithms such as Group Reward Policy Optimization (GRPO) have proven effective for fine-tuning large language models (LLMs) with human feedback. However, generating and storing multiple responses per…

Machine Learning · Computer Science 2025-07-01 Liangyu Wang , Huanyi Xie , Xinhai Wang , Tianjin Huang , Mengdi Li , Di Wang

Gamification is frequently used to motivate people getting more physically active. However, most systems follow a one-size-fits-all gamification approach, although past research has shown that interpersonal differences exist in the…

Human-Computer Interaction · Computer Science 2021-07-28 Maximilian Altmeyer , Marc Schubhan , Antonio Krüger , Pascal Lessel

Human behavior training in improvisational theater has shown extensive behavioral and health benefits. Improved empathy measures in medical students, improved behavior outcome in patients with autism and a reduced recidivism rate are among…

Other Quantitative Biology · Quantitative Biology 2023-12-05 Vikram Jakkamsetti , Clinton Broyles , Frank Buttafarro , Clint R. Myers , Sophia Kwong Myers

For the task of speech recognition, the use of more than 30 seconds of acoustic context during training is uncommon and under-investigated in literature. In this work, we conduct an empirical study on the effect of scaling the sequence…

Computation and Language · Computer Science 2024-06-18 Robert Flynn , Anton Ragni

In typical Stroop experiments, participants perform better when the colors and words are congruent compared to when they are incongruent or neutral. Paradoxically, in some experimental conditions, neutral trials are faster than congruent…

Neurons and Cognition · Quantitative Biology 2025-06-03 Ahmad Sohrabi , Robert L. West

It is not accurate to make recommendations only based one single current session. Therefore, multi-session-based recommendation(MSBR) is a solution for the problem. Compared with the previous MSBR models, we have made three improvements in…

Information Retrieval · Computer Science 2022-05-10 Zihan Wang , Gang Wu , Yan Wang

Mindfulness can be defined as increased awareness of and sustained attentiveness to the present moment. Recently, there has been a growing interest in the applications of mindfulness for empirical research in wellbeing and the use of…

Human-Computer Interaction · Computer Science 2021-05-25 Caglar Yildirim , Tara OGrady

Asynchronous Federated Learning (AFL) has emerged as a significant research area in recent years. By not waiting for slower clients and executing the training process concurrently, it achieves faster training speed compared to traditional…

Machine Learning · Computer Science 2026-02-23 Chaoyi Lu , Yiding Sun , Zhichuan Yang , Jinqian Chen , Dongfu Yin , Jihua Zhu

Children with ADHD often struggle with executive function (EF) and motor skills, impacting their academics and social life. While medications are commonly used, they have side effects, leading to interest in non-drug treatments. Physical…

Human-Computer Interaction · Computer Science 2025-03-13 Liwen Lin , Nan Lib , Shuchen Zhao

Spatial selective attention is an important asset for communication in cocktail party situations but may be compromised by short-term cognitive fatigue. Here we tested whether an effortful conversation in a highly ecological setting…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-12 Ľuboš Hládek , Piotr Majdak , Robert Baumgartner

Aggressive incentive schemes that allow individuals to impose economic punishment on themselves if they fail to meet health goals present a promising approach for encouraging healthier behavior. However, the element of choice inherent in…

General Economics · Economics 2018-11-08 Idris Adjerid , Rachael Purta , Aaron Striegel , George Loewenstein

Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Current rehabilitation methods, including physical therapy and electrical stimulation, offer…

Neurons and Cognition · Quantitative Biology 2024-12-18 Ruidong Cheng , Yuling Shao , Xi Li , Li Zhang , Zehao Sheng , Chenyang Li , Xu Xie , Huilin Mou , Weidong Chen , Shaomin Zhang , Yuchen Xu , Minmin Wang

Consolidation of synaptic changes in response to neural activity is thought to be fundamental for memory maintenance over a timescale of hours. In experiments, synaptic consolidation can be induced by repeatedly stimulating presynaptic…

Neurons and Cognition · Quantitative Biology 2019-11-14 Chiara Gastaldi , Samuel P. Muscinelli , Wulfram Gerstner