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 in...... 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 att...... 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 ...... hiện toàn bộ