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1481“…As case studies, we take three model-fitting problems of increasing complexity from computational and cognitive neuroscience. In all problems, IBS generally produces lower error in the estimated parameters and maximum log-likelihood values than alternative sampling methods with the same average number of samples. …”
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1482“…In studies of cognitive neuroscience, multivariate pattern analysis (MVPA) is widely used as it offers richer information than traditional univariate analysis. …”
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1483por Weiss, Eileen Oberwelland, Kruppa, Jana A., Fink, Gereon R., Herpertz-Dahlmann, Beate, Konrad, Kerstin, Schulte-Rüther, Martin“…Although such models are increasingly used in cognitive neuroscience, developmental approaches are still scarce. …”
Publicado 2021
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1484por Ridderinkhof, K. Richard, Wylie, Scott A., van den Wildenberg, Wery P. M., Bashore, Theodore R., van der Molen, Maurits W.“…It has inspired research across the fields of cognitive neuroscience, psychophysiology, neurology, psychiatry, and sports science. …”
Publicado 2020
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1485por Trutti, Anne C., Fontanesi, Laura, Mulder, Martijn J., Bazin, Pierre-Louis, Hommel, Bernhard, Forstmann, Birte U.“…Despite the significant interest in this nucleus in cognitive neuroscience, there are currently no available, anatomically precise VTA atlases derived from 7 T MRI data that cover the full region of the VTA. …”
Publicado 2021
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1486“…Investigating human consciousness based on brain activity alone is a key challenge in cognitive neuroscience. One of its central facets, the ability to form autobiographical memories, has been investigated through several fMRI studies that have revealed a pattern of activity across a network of frontal, parietal, and medial temporal lobe regions when participants view personal photographs, as opposed to when they view photographs from someone else’s life. …”
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1487por Fingerhut, Joerg“…Both the plurality of habits and the dynamical adjustments within a habit require a more flexible neural architecture than is addressed by classical cognitive neuroscience. To detail how neural and media processes interlock, I will introduce the concept of neuromediality and discuss radical predictive processing accounts that could contribute to the externalization of the mind by treating media themselves as generative models of the world. …”
Publicado 2021
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1488“…Web-based experimental testing has seen exponential growth in psychology and cognitive neuroscience. However, paradigms involving affective auditory stimuli have yet to adapt to the online approach due to concerns about the lack of experimental control and other technical challenges. …”
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1489por Medaglia, John D., Harvey, Denise Y., Kelkar, Apoorva S., Zimmerman, Jared P., Mass, Joely A., Bassett, Danielle S., Hamilton, Roy H.“…Recent work has combined cognitive neuroscience and control theory to make predictions about cognitive control functions. …”
Publicado 2021
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1490“…Machine learning methods have been frequently applied in the field of cognitive neuroscience in the last decade. A great deal of attention has been attracted to introduce machine learning methods to study the autism spectrum disorder (ASD) in order to find out its neurophysiological underpinnings. …”
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1491por Popiel, Nicholas J. M., Metrow, Colin, Laforge, Geoffrey, Owen, Adrian M., Stojanoski, Bobby, Soddu, Andrea“…An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. …”
Publicado 2021
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1492“…To address this issue, we employ an empirical methodology of event-related potentials (EPR) in this study from the perspective of cognitive neuroscience and psychology. Subjects are presented with a series of mobile marketing interface images of different layouts with identical marketing content. …”
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1493“…High‐dimensional modelling of post‐stroke deficits from structural brain imaging is highly relevant to basic cognitive neuroscience and bears the potential to be translationally used to guide individual rehabilitation measures. …”
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1494“…Confirming the presence (or absence) of dynamic functional connectivity (dFC) states during rest is an important open question in the field of cognitive neuroscience. The prevailing dFC framework aims to identify dynamics directly from connectivity estimates with a sliding window approach, however this method suffers from several drawbacks including sensitivity to window size and poor test–retest reliability. …”
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1495“…SIGNIFICANCE STATEMENT A key goal in the cognitive neuroscience of aging is to provide a mechanistic explanation of how brain–behavior relationships change with age. …”
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1496“…Therefore, it is necessary to explore the connection between coal mine workers’ neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers who have engaged in unsafe behaviors (EUB) and those who have not (NUB). (2) Methods: Based on functional near-infrared spectroscopy (fNIRS), a total of 106 workers from the Hongliulin coal mine of Shaanxi North Mining Group, one of the largest modern coal mines in China, completed the test. …”
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1497por Jones, D., Lowe, V., Graff-Radford, J., Botha, H., Barnard, L., Wiepert, D., Murphy, M. C., Murray, M., Senjem, M., Gunter, J., Wiste, H., Boeve, B., Knopman, D., Petersen, R., Jack, C.“…We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.…”
Publicado 2022
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1498“…This perspective on social cognitive neuroscience can highlight how a more fine-grained understanding of complex network (re-)configurations could improve our understanding of social cognitive deficits in mental disorders such as autism spectrum disorder and schizophrenia, thereby providing new impulses for methods of interventions.…”
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1499por Lappi, Otto“…It draws on a careful analysis of the case of the motorsport athlete, as well as theoretical concepts from: (1) cognitive neuroscience of wayfinding, steering, and driving; (2) cognitive psychology of expertise; (3) cognitive modeling and machine learning; (4) human-in-the loop modellling in vehicle system dynamics and human performance engineering; (5) experimental research (in the laboratory and in the field) on human visual guidance. …”
Publicado 2022
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1500“…The results from the content mapping show four domains of mindfulness research: mental health, behavioural change, cognitive neuroscience, and ethical mindfulness. Operational definitions of mindfulness are not articulated clearly in these domains. …”
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