13 papers · ranked by Valyu relevance
Michał Bola, Marta Paź, Łucja Doradzińska, Anna Nowicka
It is well established that stimuli representing or associated with ourselves, like our own name or an image of our own face, benefit from preferential processing. However, two key questions concerning the self-prioritization mechanism remain to be addressed. First, does it operate in an automatic manner during the…
Sanghoon Lee, Kazi A. Islam, Sai C. Koganti, Varshini Yaganti + 3 more
Digital pathology has played a key role in replacing glass slides with digital images, enhancing various pathology workflows. Whole slide images are digitized pathological images improving the capabilities of digital pathology and contributing to the overall turnaround time for diagnoses. The digitized images have been…
Meike Scheller, Jan Tünnermann, Katja Fredriksson, Huilin Fang + 1 more
Efficiently processing self-related information is critical for cognition, yet the earliest mechanisms enabling this self-prioritization remain unclear. By combining a temporal order judgement task with computational modelling based on the Theory of Visual Attention (TVA), we show how mere, arbitrary associations with…
Ankit Yadav, Arpan Banerjee, Dipanjan Roy
Internally directed attention (IDA), whether spontaneous or intentional, has been associated with impaired performance on externally directed cognitive tasks. Yet, the neurophysiological mechanisms underpinning this disruption remain poorly understood. In the present study, we characterized the neural correlates of IDA…
Jonathan Morgan, Badr Albanna, James P. Herman
We present a neural network model of visual attention (NNMVA) that integrates biased competition and reinforcement learning to capture key aspects of attentional behavior. The model combines selfattention mechanisms from Vision Transformers (ViTs), Long Short-Term Memory (LSTM) networks for working memory, and an…
Chiara Orsini, Daniel A. Huber, Karin Labek, Julia E. Bosch + 1 more
Self-regulation is a human trait consistently associated with success in both academic and professional settings and to better mental health. Based on previous findings, we used functional imaging data in a sustained attention task to test three hypotheses on neural substrates associated with individual differences in…
Chiara Orsini, Daniel A. Huber, Karin Labek, Julia E. Bosch + 1 more
Self-regulation is a human trait consistently associated with success in both academic and professional settings and to better mental health. Based on previous findings, we used functional imaging data in a sustained attention tasks to test three hypotheses on neural substrates associated with individual differences in…
Louis Lakatos, Josée Turcotte, Bruce Oddson
The study of mindfulness proceeds from a number of perspectives. Two of the best-known academic conceptualizations of mindfulness are those identified with Kabat-Zinn and Langer. These conceptions, meditative and socio-cognitive, have been built from different foundations and have been argued to be quite distinct.…
Saeed Salehi, Jordan Lei, Ari S. Benjamin, Klaus-Robert Müller + 1 more
Attention is a key component of the visual system, essential for perception, learning, and memory. Attention can also be seen as a solution to the binding problem: concurrent attention to all parts of an entity allows separating it from the rest. However, the rich models of attention in computational neuroscience are…
Casper Kerrén, Stephanie Theves, Mikael Johansson, Peter Gärdenfors + 1 more
Flexible decision-making in uncertain environments requires inferring latent structure and selecting behaviourally relevant information. Here, we tested the hypothesis that internal models support this process by compressing high-dimensional input into lower-dimensional, goal-relevant subspaces. Human participants…
Melisa Gumus, Zoey Zhi Yi Lee, Michael L. Mack
Attention optimizes learning by filtering relevant information to build conceptual knowledge. However, how learned concepts, once encoded in memory, subsequently guide attentional processes remains an intriguing question. We propose that concept learning leads to the emergence of attentional templates that store…
Suketu Patel, Hongbin Wang, Jin Fan
Although transformers in the large language models (LLMs) effectively implement a self-attention mechanism that has revolutionized natural language processing, they lack an explicit implementation of executive control of attention found in humans which is essential for resolving conflicts and selecting relevant…
Sonia Baloni Ray, Daniel Kaping, Stefan Treue
In highly developed visual systems, spatial- and feature-based attentional modulation interact to prioritize relevant information and suppress irrelevant details. We investigated the specific role and integration of these two attentional mechanisms in visual cortical area MST of rhesus monkeys. We show that spatial…