AbstractIn the cognitive, computational, and neuro-sciences, practitioners often
reason about what computational models represent or learn, as well as what
algorithm is instantiated. The putative goal of such reasoning is to generalize
claims about the model in question, to claims about the mind and brain, and the
neurocognitive capacities of those systems. Such inference is often based on a
model... hiện toàn bộ
AbstractPeople deploy top-down, goal-directed attention to accomplish tasks,
such as finding lost keys. By tuning the visual system to relevant information
sources, object recognition can become more efficient (a benefit) and more
biased toward the target (a potential cost). Motivated by selective attention in
categorisation models, we developed a goal-directed attention mechanism that can
process... hiện toàn bộ
Russell A. Poldrack, Franklin Feingold, Michael J. Frank, Padraig Gleeson, Gilles de Hollander, Quentin J. M. Huys, Bradley C. Love, Christopher J. Markiewicz, Rosalyn J. Moran, Petra Ritter, Timothy T. Rogers, B. E. Turner, Tal Yarkoni, Ming Zhan, Jonathan D. Cohen
Chara Tsoukala, Mirjam Broersma, Antal van den Bosch, Stefan L. Frank
AbstractCode-switching is the alternation from one language to the other during
bilingual speech. We present a novel method of researching this phenomenon using
computational cognitive modeling. We trained a neural network of bilingual
sentence production to simulate early balanced Spanish–English bilinguals, late
speakers of English who have Spanish as a dominant native language, and late
speaker... hiện toàn bộ