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Cognitive computational neuroscience [PDF]
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models of human cognition, decomposing task performance into computational components. However, its algorithms still fall short
Pamela K. Douglas, Nikolaus Kriegeskorte
arxiv +7 more sources
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness [PDF]
While probabilistic models describe the dependence structure between observed variables, causal models go one step further: they predict, for example, how cognitive functions are affected by external interventions that perturb neuronal activity. In this review and perspective article, we introduce the concept of causality in the context of cognitive ...
S. Weichwald, J. Peters
arxiv +2 more sources
The population doctrine in cognitive neuroscience [PDF]
A major shift is happening within neurophysiology: a population doctrine is drawing level with the single-neuron doctrine that has long dominated the field. Population-level ideas have so far had their greatest impact in motor neuroscience, but they hold great promise for resolving open questions in cognition as well.
R. B. Ebitz, B. Hayden
arxiv +3 more sources
Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging
Nutritional cognitive neuroscience is an emerging interdisciplinary field of research that seeks to understand nutrition's impact on cognition and brain health across the life span.
Marta Zamroziewicz, Aron K Barbey
exaly +2 more sources
Coordination Dynamics in Cognitive Neuroscience [PDF]
Many researchers and clinicians in cognitive neuroscience hold to a modular view of cognitive function in which the cerebral cortex operates by the activation of areas with circumscribed elementary cognitive functions. Yet an ongoing paradigm shift to a dynamic network perspective is underway. This new viewpoint treats cortical function as arising from
J. A. Scott Kelso+2 more
openaire +5 more sources
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in which high-resolution functional magnetic resonance imaging responses to ...
Emily J. Allen+12 more
semanticscholar +1 more source
Developmental cognitive neuroscience
SarahâJayne Blakemore+3 more
openalex +4 more sources
With the objective to demonstrate the real hidden capacities of reading in students with difficulties of learning such as dyslexia with the use of videogames, we have carried out a study with grammar education students.
Paula Aguadero Ruiz
semanticscholar +1 more source
Inferring Causality from Noninvasive Brain Stimulation in Cognitive Neuroscience
Noninvasive brain stimulation (NIBS) techniques, such as transcranial magnetic stimulation or transcranial direct and alternating current stimulation, are advocated as measures to enable causal inference in cognitive neuroscience experiments ...
T. Bergmann, G. Hartwigsen
semanticscholar +1 more source
Gender (im)balance in citation practices in cognitive neuroscience
In the field of neuroscience, despite the fact that the proportion of peer-reviewed publications authored by women has increased in recent decades, the proportion of citations of women-led publications has not seen a commensurate increase: In five broad ...
Jacqueline M. Fulvio+2 more
semanticscholar +1 more source