1287 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 demonstrates that while self-caught and probe-caught mind blanking share similar behavioral patterns and low-arousal functional connectivity, they diverge in neural activation, with self-caught events uniquely recruiting the dorsal anterior cingulate cortex to support the meta-awareness required for spontaneous detection.
This study utilizes focal ring tDCS to demonstrate a hemispheric dissociation in word production, revealing that the right inferior frontal gyrus regulates speech output and distractor interference while the left inferior frontal gyrus supports the retrieval and selection of word meanings.
This study demonstrates that the zinc finger transcription factor Zfp719 is essential for maintaining hearing in mice rather than for its development, as its mutation leads to rapid post-weaning hearing loss and outer hair cell degeneration, potentially mediated by the misregulation of the long non-coding RNA Gm15083.
This study proposes representational geometry as a fidelity metric for connectome-constrained networks, demonstrating that Drosophila visual circuits built on the FlyWire connectome generate biologically faithful population response structures that distinguish them from random baselines and accurately match in vivo direction tuning, without requiring behavioral decoding or single-unit recordings.
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.