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Biomarkers.
Alzheimers Dement
December 2024
Institute for Stroke and Dementia Research, Ludwig-Maximilians-Universität München, LMU München, Munich, Germany.
Background: In Alzheimer's disease, Aβ triggers tau spreading which drives neurodegeneration and cognitive decline. However, the mechanistic link between Aβ and tau remains unclear, which hinders therapeutic efforts to attenuate Aβ-related tau accumulation. Preclinical research could show that tau spreads across connected neurons in an activity-dependent manner, and Aβ was shown to trigger neuronal hyperactivity and hyperconnectivity.
View Article and Find Full Text PDFAlzheimer's Imaging Consortium.
Alzheimers Dement
December 2024
Institute for Stroke and Dementia Research, Ludwig-Maximilians-Universität München, LMU München, Munich, Germany.
Background: In Alzheimer's disease, Aß triggers tau spreading which drives neurodegeneration and cognitive decline. However, the mechanistic link between Aß and tau remains unclear, which hinders therapeutic efforts to attenuate Aß-related tau accumulation. Preclinical research could show that tau spreads across connected neurons in an activity-dependent manner, and Aß was shown to trigger neuronal hyperactivity and hyperconnectivity.
View Article and Find Full Text PDFAutomatic imitation of intransitive actions in macaws.
iScience
December 2024
Max Planck Institute for Biological Intelligence, Seewiesen 82319, Germany.
Automatic imitation is the involuntary tendency of humans to copy others' actions even when counterproductive. We examined the automatic imitation of actions in blue-throated macaws (), employing a stimulus-response-compatibility task. After training seven macaws to perform two different actions with legs and wings upon specific hand commands, the subjects were divided into a compatible and incompatible group.
View Article and Find Full Text PDFBiologically inspired heterogeneous learning for accurate, efficient and low-latency neural network.
Natl Sci Rev
January 2025
School of Astronautics, Beihang University, Beijing 100191, China.
Article Synopsis
- Researchers aim to create artificial neural networks that match the performance of biological networks, focusing on accuracy, efficiency, and low latency.
- They developed a new spiking neural network (SNN) using concepts from neuroscience, including self-inhibiting autapse and neuron diversity, to improve learning and memory capabilities.
- The new SNN model demonstrated superior performance, achieving higher accuracy, energy efficiency, and reduced latency in various AI tasks, and successfully identified rare cell types linked to severe brain diseases.
Olfactory deficits in aging and Alzheimer's-spotlight on inhibitory interneurons.
Front Neurosci
December 2024
Institute of Physiology, RG Neurophysiology and Optogenetics, Medical Faculty, Otto-von-Guericke-University, Magdeburg, Germany.
Cognitive function in healthy aging and neurodegenerative diseases like Alzheimer's disease (AD) correlates to olfactory performance. Aging and disease progression both show marked olfactory deficits in humans and rodents. As a clear understanding of what causes olfactory deficits is still missing, research on this topic is paramount to diagnostics and early intervention therapy.
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