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Neuron
Scopus
ISSN 0896-6273 · Cell Press · 78 articles in the index
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Mechanisms of sex differences in Alzheimer’s disease
Alzheimer's disease (AD) and the mechanisms underlying its etiology and progression are complex and multifactorial. The higher AD risk in women may serve as a clue to better understand these complicated processes. In this review, we examine aspects of AD that demonstrate sex-dependent effects and…
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Autophagy, aging, and age-related neurodegeneration
Autophagy is a conserved mechanism that degrades damaged or superfluous cellular contents and enables nutrient recycling under starvation conditions. Many neurodegeneration-associated proteins are autophagy substrates, and autophagy upregulation ameliorates disease in many animal models of…
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Virus exposure and neurodegenerative disease risk across national biobanks
With recent findings connecting the Epstein-Barr virus to an increased risk of multiple sclerosis and growing concerns regarding the neurological impact of the coronavirus pandemic, we examined potential links between viral exposures and neurodegenerative disease risk. Using time series data from…
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In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Integrating neurons into digital systems may enable performance infeasible with silicon alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive computation of neurons in a structured environment. In vitro neural networks from human or rodent origins are integrated with in…
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The neurobiology of long COVID
Persistent neurological and neuropsychiatric symptoms affect a substantial fraction of people after COVID-19 and represent a major component of the post-acute COVID-19 syndrome, also known as long COVID. Here, we review what is understood about the pathobiology of post-acute COVID-19 impact on the…
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Astrocytes and oligodendrocytes undergo subtype-specific transcriptional changes in Alzheimer’s disease
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Orthogonal representations for robust context-dependent task performance in brains and neural networks
How do neural populations code for multiple, potentially conflicting tasks? Here we used computational simulations involving neural networks to define "lazy" and "rich" coding solutions to this context-dependent decision-making problem, which trade off learning speed for robustness. During lazy…
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Medial and orbital frontal cortex in decision-making and flexible behavior