Researchers have identified the mitochondrial calcium uniporter as a critical protein in the strengthening of synaptic ...
Sleep's role to down-scale glutamate, excitatory, frontal cortical synapses is extended to include an up-scaling of metaplastic LTP potential, in recovery from prolonged waking induced saturation of ...
New research reveals that brain cells use a muscle-like signaling mechanism to relay information over long distances.
January felt long due to high expectations for new skills, but February brings a lighter perspective. Embracing learning fosters growth and adaptability.
What was of particular interest (in relation to the recovery of John Famechon) was the process of discovering what was ...
The neurobiological and neurophysiological function of this, is to lead to an immediate brain recovery condition (and the commencement of the return of homeostasis) that existed prior to when the ...
participate in the maintenance of extracellular ionic and chemical homeostasis, are involved in the response to injury, and affect neuronal development and plasticity. Rabah et al. elegantly show ...
A research group from Nagoya City University has elucidated the significance of birth in the maintenance of neural stem cells (NSCs).The findings of the study are published in Science Advances.
A research group from Nagoya City University has elucidated the significance of birth in the maintenance of neural stem cells ... role in brain development and plasticity in humans, the reduction ...
Researchers at the Chinese Institute for Brain Research and other institutes in China recently carried out a study aimed at identifying neuronal subtypes in the mouse cNTS that are involved in how ...
Periods in which experience regulates early plasticity in sensory circuits are well established, but the mechanisms that control these critical periods are poorly understood. In this important study, ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...
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