24 papers · ranked by Valyu relevance
Priyam Srivastava, Akshat R. Sabavat, Siddharth Jain, Alan Scheller-Wolf + 5 more
Connection-less, packet-switched quantum network architectures distribute entanglement across multi-hop paths through sequential entanglement swapping, in which each node acts on purely local state information. The architectural advantages over the connection-oriented alternative -- simultaneous SWAP-ASAP -- are…
Marie-Luise Augsten, Martin J. Lindenbeck, Bernhard Laback
Cochlear implant (CI) users typically experience difficulties perceiving musical harmony due to a restricted spectro-temporal resolution at the electrode-nerve interface, resulting in limited pitch perception. We investigated how stimulus parameters affect discrimination of complex-tone triads (three-voice chords)…
Joseph W. Choi, Sungho Shin
We revisit the classical topic in dynamic optimization: sequential vs simultaneous methods for solving DAE-constrained optimization problems, with a particular focus on how graphics processing unit (GPU) computing changes their effectiveness. Sequential methods offer key advantages through adaptive time stepping at the…
Makayla Szu-Yu Chen, Caitlin Megan Roscherr, Zhe Chen
A growing body of research indicates that the limit in instant conscious awareness, or the unit of access, for some object features such as color, orientation, and direction of motion is more than one. In four experiments we explored the roles of processing efficiency and selection history in shape perception. Two…
Authors not listed
In this article, we report a computational modeling study to enhance the understanding of the solvent-free extrusion process employed to produce filaments for the 3D printing of lithium-ion battery electrodes. Our study is supported by a newly developed dynamic 3D-resolved numerical model capable of simulating the…
Jiawei Ju, Aberham Genetu Feleke, Longxi Luo, Xinan Fan
In this paper, we propose simultaneous and sequential hybrid brain-computer interfaces (hBCIs) that incorporate electroencephalography (EEG) and electromyography (EMG) signals to classify drivers’ hard braking, soft braking, and normal driving intentions to better assist driving for the first time. The simultaneous…
Jie Deng, Washington Taylor, Simon A. Levin, Serguei Saavedra
The dynamics of ecological communities in nature are typically characterized by probabilistic, sequential assembly processes (i.e., invasion dynamics). Because of technical challenges, however, the majority of theoretical and experimental studies have focused on the outcomes derived from simultaneous assembly processes…
CS Parker, NP Oxtoby, DC Alexander, H Zhang
Estimating the temporal evolution of biomarker abnormalities in disease informs understanding of early disease processes and facilitates subject staging, which may augment the development of early therapeutic interventions and provide personalised treatment tools. Event-based modelling of disease progression (EBM) is a…
Valay A Shah, Maura Casadio, Robert A Scheidt, Leigh A Mrotek
Body-machine interfaces (BMIs) provide a non-invasive way to use and control external devices such as powered wheelchairs. Vibrotactile stimulation has been proposed as a way for BMIs to provide device performance feedback to the user, thereby reducing visual demands of closed-loop control. To advance the goal of…
Marco Vasconcelos, Tiago Monteiro, Alex Kacelnik, Daniel Osorio
Foraging animals typically encounter opportunities that they either pursue or skip, but occasionally meet several alternatives simultaneously. Behavioural ecologists predict preferences using absolute properties of each option, while decision theorists focus on relative evaluations at the time of choice. We use…
Patrick Eric Poncelet, Anne Giersch, Markus Lappe
Previous studies have suggested that even if subjects deem two visual stimuli less than 20 ms apart to be simultaneous, implicitly they are nonetheless distinguished in time. It is unclear, however, how information is encoded within this short timescale. We used a priming paradigm to demonstrate how successive visual…
Neil McGlohon, Christopher D. Carothers
In the area of discrete event simulation (DES), event simultaneity occurs when any two events are scheduled to happen at the same point in simulated time. Simulation determinism is the expectation that the same semantically configured simulation will be guaranteed to repeatedly reproduce identical results. Since events…
Authors not listed
As demand rises for scalable and sustainable energy storage, fast and low-cost diagnostics capable of identifying cell-to-cell variations are urgently needed, particularly for factory-produced sorting and second-life assessment. Electrochemical impedance spectroscopy (EIS) is widely used but remains slow, expensive and…
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
Sharing information between multiple tasks enables algorithms to achieve good generalization performance even from small amounts of training data. However, in a realistic scenario of multi-task learning not all tasks are equally related to each other, hence it could be advantageous to transfer information only between…
Yudong Qiu, Daniel Smith, Chaya Stern, Mudong Feng + 1 more
The parameterization of torsional / dihedral angle potential energy terms is a crucial part of developing molecular mechanics force fields. Quantum mechanical (QM) methods are often used to provide samples of the potential energy surface (PES) for fitting the empirical parameters in these force field terms. To ensure…
Jesse Read, Luca Martino, Jaakko Hollmén
The number of methods available for classification of multi-label data has increased rapidly over recent years, yet relatively few links have been made with the related task of classification of sequential data. If labels indices are considered as time indices, the problems can often be seen as equivalent. In this…
Upinder Singh Bhalla
Sequences of events are ubiquitous in sensory, motor, and cognitive function. Key computational operations, including pattern recognition, event prediction, and plasticity, involve neural discrimination of spatio-temporal sequences. Here we show that synaptically-driven reaction-diffusion pathways on dendrites can…
Ádám Takács, Andrea Kóbor, Zsófia Kardos, Karolina Janacsek + 3 more
Humans are capable of acquiring multiple types of information presented in the same visual information stream. It has been suggested that at least two parallel learning processes are important during learning of sequential patterns – statistical learning and rule-based learning. Yet, the neurophysiological…
Cybelle M. Smith, Sharon L. Thompson-Schill, Anna C. Schapiro
Our environment contains temporal information unfolding simultaneously at multiple timescales. How do we learn and represent these dynamic and overlapping information streams? We investigated these processes in a statistical learning paradigm with simultaneous short and long timescale contingencies. Human participants…
Authors not listed
This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Sascha Frölich, Dimitrije Marković, Stefan J. Kiebel
Sequential neuronal activity underlies a wide range of processes in the brain. Neuroscientific evidence for neuronal sequences has been reported in domains as diverse as perception, motor control, speech, spatial navigation and memory. Consequently, different dynamical principles have been proposed as possible…
Jeff Guo, Vendy Fialková, Juan Diego Arango, Christian Margreitter + 4 more
Reinforcement learning (RL) is a powerful paradigm that has gained popularity across multiple domains. However, applying RL may come at a cost of multiple interactions between the agent and the environment. This cost can be especially pronounced when the single feedback from the environment is slow or computationally…
Quan Wang, Constantin A. Rothkopf, Jochen Triesch, Daniele Marinazzo
The ability to learn sequential behaviors is a fundamental property of our brains. Yet a long stream of studies including recent experiments investigating motor sequence learning in adult human subjects have produced a number of puzzling and seemingly contradictory results. In particular, when subjects have to learn…
Teodóra Vékony, Claire Pleche, Orsolya Pesthy, Karolina Janacsek + 1 more
'Dezso Nemeth'] Procedural learning is key to optimal skill learning and is essential for functioning in everyday life. The findings of previous studies are contradictory regarding whether procedural learning can be modified by prioritizing speed or accuracy during learning. The conflicting results may be due to the…