1523 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.
The study demonstrates that inhibiting the WNK-SPAK/OSR1 signaling pathway with WNK463 suppresses ictal activity by simultaneously reducing NKCC1-mediated chloride influx and enhancing KCC2-mediated chloride efflux, thereby accelerating intracellular chloride extrusion during seizures.
This study demonstrates that spatial collinearity among PET-derived receptor maps significantly degrades the reliability of multivariate molecular-enriched functional connectivity networks, supporting the use of univariate modeling as a more robust alternative for investigating neurochemical effects on brain connectivity.
Using laminar electrophysiology in mice, this study demonstrates that behaviorally relevant sound locations selectively enhance auditory cortical encoding not by altering firing rates, but by dynamically increasing temporal coordination, reliability, and gamma-band spike-field coupling.
This study identifies and characterizes two distinct subsets of postnatal human neural stem cells (NINO and NAC) with specific differentiation biases, revealing that while their frequency declines exponentially during the first two decades of life, they persist into old age, providing a new framework for studying human brain development and aging.
This study demonstrates that the RAI1 gene acts as a critical brake on human neurodevelopment by suppressing mesodermal lineage programs and slowing the tempo of gene expression, thereby ensuring the fidelity and prolonged timeline necessary for advanced cognitive development.
This study demonstrates that a single evidence accumulation process with separate decision boundaries can jointly explain both perceptual choices and subsequent confidence reports, as evidenced by its superior ability to account for human electrophysiological signatures compared to models invoking distinct processes.
This study demonstrates that conventional single-trial endpoint-summary measures fail to capture genuine stimulus-locked P300 coupling in the visual oddball paradigm once temporal autocorrelation is controlled, revealing that observed correlations are largely driven by background EEG continuity rather than specific stimulus processing.
This five-year longitudinal study demonstrates that parameterized resting-state EEG metrics, including the aperiodic exponent and peak alpha frequency, exhibit fair to excellent long-term reliability while showing age-related changes consistent with normal neurophysiological aging, thereby supporting their potential utility as stable biomarkers for tracking neurophysiological changes and detecting pathology in adults.
This paper demonstrates that a neuromorphic olfactory learning algorithm, when adapted with modality-specific preprocessing and PCA, can successfully perform one-shot online learning on both image and sound recognition tasks, although PCA representations failed to achieve high similarity to templates across all modalities.
Using 3T fMRI, this study demonstrates that volitional hand activation significantly intensifies and expands cortical proprioceptive processing in the primary sensorimotor cortex compared to passive movement.