1315 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 midbrain dopamine neurons in male mice exhibit stable, experience-independent activity patterns that are essential for sustaining intravaginal thrusting during copulation but are not required for the ejaculation reflex itself, thereby expanding the understanding of dopamine's role beyond reward prediction to the regulation of innate, goal-directed motor persistence.
This study demonstrates that both gain-of-function and dominant-negative RARB-related disorder variants compromise striatal integrity and function through a shared dominant-negative mechanism involving Drd2-expressing neuron reduction and transcriptional dysregulation, thereby supporting the development of allele-silencing therapies.
This study identifies distinct frontoparietal and ventromedial prefrontal brain networks that differentially encode sensitivity to signal noise and environmental volatility, revealing how these neural mechanisms drive systematic over- and underreactions during regime-shift detection.
By combining behavioral analysis with single motor unit recordings in mice, this study reveals that the nervous system controls locomotor speed primarily through the probabilistic recruitment of diverse motor unit subsets across different muscles, rather than solely through changes in firing rates, thereby linking individual unit activity to specific limb kinematic adjustments.
Prior cocaine use disrupts the orbitofrontal cortex's ability to identify hidden task states and generalize across similar contexts, leading to persistent neural encoding of superficial sensory differences and increased behavioral variability in rats.
This study demonstrates that increasing the number of detected periodic peaks in the FOOOF toolbox reduces the reliability of broadband aperiodic parameter estimates in M/EEG data, and proposes a theory-driven "censored regression" method that removes expected periodic frequency ranges to produce more robust and reliable estimates.
The paper introduces p-Brain, an open-source, automated end-to-end framework that processes DCE-MRI data to generate quantitative maps of cerebral perfusion, microvasculature, and blood-brain barrier permeability, validated on healthy participants and supported by a companion desktop application for scalable, reproducible neuroimaging analysis.
Using source-localized EEG in a large cohort, this study demonstrates that the right inferior frontal gyrus mediates emotion-cognition interactions through transient, beta-frequency top-down modulation of visuo-attentional areas, a mechanism that predicts individual behavioral interference effects.
This study demonstrates that human walking stabilizes both linear and whole-body angular momentum simultaneously, explaining observed correlations between center of pressure and center of mass states through a feedback control mechanism that predicts ground reaction forces and moments based on preceding momentum deviations.
By analyzing intracranial EEG data, this study demonstrates that hippocampal ripples trigger a theta-gamma coupled expansion of cortical dimensionality, which separates task-relevant variables and facilitates successful episodic memory retrieval.