20 papers · ranked by Valyu relevance
Chi-Shing Tse, Jeanette Altarriba
By administering Simon, Simon switching, and operation-span working memory tasks to Cantonese-English bilingual children who varied in their first-language (L1, Cantonese) and second-language (L2, English) proficiencies, as quantified by standardized vocabulary test performance, the current study examined the effects…
Julien Poitreau, Frédéric Ambroggi, Thierry Hasbroucq, Francesca Sargolini + 1 more
Responding to internal goals and filtering irrelevant environmental cues is essential for adapted behavior. To better understand their phylogenetic evolution, we explored the underlying mechanisms in rats, thanks to the adaptation of a well-established conflict task in Humans. Besides mean performance, state of the art…
James R McIntosh, Paul Sajda
The Simon effect is observed in spatial conflict tasks where the response time of subjects is increased if stimuli are presented in a lateralized manner so that they are incongruous with the response information that they represent symbolically. Previous studies have used fMRI to investigate this phenomenon, and while…
Dan B. Welch, Aaron R. Seitz, Piers Douglas Howe
How humans produce cognitively driven fine motor movements is a question of fundamental importance in how we interact with the world around us. For example, we are exposed to a constant stream of information and we must select the information that is most relevant by which to guide our actions. In the present study, we…
Felix Carter, Vincent DeLuca, Katrien Segaert, Ali Mazaheri + 1 more
Bilinguals have often, but not always, been found to outperform monolinguals on domain-general attentional control. Inconsistent findings have been argued to stem, at least partly, from treating bilingualism as a uniform category and from not considering how neural adaptations to bilingual experiences modulate…
Jason Ivanoff, Ryan Blagdon, Stefanie Feener, Melanie McNeil + 1 more
'Paul H. Muir'] The Simon effect refers to the performance (response time and accuracy) advantage for responses that spatially correspond to the task-irrelevant location of a stimulus. It has been attributed to a natural tendency to respond toward the source of stimulation. When location is task-relevant, however, and…
Dandan Tang, Xiao Zhao, Antao Chen, Philip Allen
[s3], using the shape-category Simon task, confirmed and expanded the findings of [s2]. The results were also consistent with our assumption. When the within-category shapes (two types of isosceles trapezoids with different degrees of base angles) were used as the task-relevant stimulus attribute that had to be…
Eduardo A. Aponte, Kaja Faßbender, Jakob Heinzle, Ulrich Ettinger
Adaptive behavior is only possible by stopping stereotypical actions to generate new plans according to internal goals. It is response inhibition —the ability to stop actions automatically triggered by exogenous cues— that allows for the flexible interplay between bottom-up, stimulus driven behaviors, and top-down…
Stefania D’Ascenzo, Luisa Lugli, Roberto Nicoletti, Carlo Umiltà
The Simon effect refers to the fact that, even though stimulus position is task-irrelevant, responses to a task-relevant stimulus dimension are faster and more accurate when the stimulus and response spatially correspond than when they do not. Although the Simon effect is a very robust phenomenon, it is modulated by…
Jakub Wojciechowski, Katarzyna Jurewicz, Patrycja Dzianok, Ingrida Antonova + 3 more
The ability to identify and resolve conflicts between standard, well trained behaviors, and behaviors required by the current context is an essential feature of cognitive control. To date, no consensus has been reached on the brain mechanisms involved in exerting such control: while some studies identified diverse…
Diana Kim, Bernhard Hommel
In the original article, there was a mistake in the legend for Figure 1. Schematic representation of standard Simon task (A) and joint Simon tasks (B). The figure was originally created by (Ruissen and de Bruijn, [1]). The correct legend appears below. Figure 1. Schematic representation of standard Simon task (A) and…
Kwok Ho Wan, Feiyang Liu, Oscar Dahlsten, M.S.Kim
We consider whether trainable quantum unitaries can be used to discover quantum speed-ups for classical problems. Using methods recently developed for training quantum neural nets, we consider Simon's problem, for which there is a known quantum algorithm which performs exponentially faster in the number of bits…
Iñaki Ucar, Bart Smeets
The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Kazuhiro Sasabuchi, Daichi Saito, Atsushi Kanehira, Naoki Wake + 2 more
'Jun Takamatsu' 'Katsushi Ikeuchi'] Abstract— A task-sequencing simulator in robotics manipulation to integrate simulation-for-learning and simulationfor-execution is introduced. Unlike existing machine-learning simulation where a non-decomposed simulation is used to simulate a training scenario, the task-sequencing…
Deepak. c. vegda, Harshadkumar B. Prajapati
Since beginning of Grid computing, scheduling of dependent tasks application has attracted attention of researchers due to NP-Complete nature of the problem. In Grid environment, scheduling is deciding about assignment of tasks to available resources. Scheduling in Grid is challenging when the tasks have dependencies…
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola + 4 more
'Yashraj Narang' 'Linxi Fan' 'Yuke Zhu' 'Dieter Fox'] Abstract: Imitation learning from a large set of human demonstrations has proved to be an effective paradigm for building capable robot agents. However, the demonstrations can be extremely costly and time-consuming to collect. We introduce MimicGen, a system for…