1829 papers
Neuroscience explores the intricate machinery of the brain and nervous system, seeking to understand how we think, feel, and move. From the microscopic dance of individual neurons to the complex networks that shape our memories and behaviors, this field peels back the layers of our biological selves to reveal the origins of consciousness and disease.
At Gist.Science, we bring these discoveries directly from bioRxiv, the leading preprint server for biological sciences, to a broader audience. We process every new neuroscience preprint as it is uploaded, transforming dense academic manuscripts into clear, plain-language explanations alongside detailed technical summaries. This ensures that both curious readers and specialists can stay current with the latest breakthroughs before they are formally published.
Below are the latest neuroscience papers we have processed from bioRxiv, offering fresh insights into the workings of the mind.
This study presents a computational model centered on the pseudo-malate-aspartate shuttle that successfully predicts how exogenous ketones modulate human brain glutamate and GABA dynamics, offering a validated framework for understanding their therapeutic mechanisms and optimizing treatments.
This study demonstrates that learning-evoked slow-oscillatory bursts in the human hippocampus synchronize gamma-band activity across the medial temporal lobe to establish population motifs during encoding, which are subsequently reactivated during rest and predict memory recall accuracy.
This paper proposes a working memory model utilizing neurons with multiple bistable dendritic compartments to robustly and noise-resistively encode both the spatial location and graded amplitude of stimuli without requiring fine-tuned parameters, thereby overcoming the limitations of current computational models.
This study demonstrates that beta2* nicotinic acetylcholine receptors exert opposing, cell-type- and region-specific effects on behavior in the prefrontal cortex and striatum, revealing that precise circuit-resolved targeting is essential for developing effective therapies for neuropsychiatric disorders.
This study reports the generation and characterization of a human iPSC-derived NPC1I1061T/I1061T i3Neuronal model that faithfully recapitulates key pathological features of Niemann-Pick disease type C, thereby providing a robust platform for high-throughput drug screening and the discovery of proteostasis regulators.
This study reveals that metformin promotes broad neuroprotection and proteostatic resilience in Alzheimer's disease and other neurodegenerative conditions by directly activating and stabilizing the ubiquitin-binding protease rngo/DDI2, thereby enhancing proteasome activity to clear toxic protein aggregates.
This study demonstrates that the natural flavonoid Baicalin ameliorates behavioral and physiological deficits in Gtf2i-duplication mice and enhances synaptic activity in patient-derived neurons, suggesting its potential as a therapeutic treatment for 7q11.23 Duplication Syndrome.
This study demonstrates that the more elaborate neurite morphologies of human neurons, compared to rodents, inherently generate higher-complexity and clustered synaptic connectivity patterns in local microcircuits, a structure that is further optimized by Hebbian plasticity mechanisms to match experimentally observed connectomes.
This study demonstrates that spaced training, unlike massed training, reorganizes spatial memory networks by enhancing cortico-thalamic and hippocampal-basal ganglia interactions, thereby creating a more integrated but hub-dependent brain-wide functional architecture.
This study reveals that in a Dravet syndrome mouse model, input- and cell-type-specific synaptic deficits in the ventral posterolateral thalamus emerge after seizure onset and persist into adulthood, potentially contributing to the enduring behavioral symptoms of the disorder.