1795 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 perinatal environmental enrichment alters the brain structure of mouse neonates by postnatal day 7, primarily through changes in maternal care rather than direct environmental interaction, resulting in distinct regional effects compared to those observed in adults.
This study demonstrates that blocking glucocorticoid receptors in the rat dorsomedial prefrontal cortex immediately after fear conditioning accelerates hormonal recovery and promotes fear overgeneralization at remote time points by shifting the retrieval network from a salience-driven to a default-mode configuration.
This study demonstrates that while both behavioral and neural language responses are significantly predicted by processing effort, only neural data uniquely capture rich, high-dimensional linguistic content beyond effort, suggesting that brain activity reflects detailed comprehension dynamics that behavioral measures bottleneck into simpler properties.
This study reveals that while young and older adults rely equally on semantic versus episodic information to generate false memories, they differ in how they utilize these information types for true memory, suggesting that age-related memory changes stem from shifts in attentional orientation toward semantic or episodic details.
By analyzing fMRI and EEG data from a willed attention paradigm, this study identifies a distinct frontoparietal decision network and pre-cue alpha oscillations that underlie the spontaneous selection of attentional focus, proposing a neural model for how attention direction is determined in the absence of external instructions.
By recording V1 neuronal activity in freely moving marmosets with head-mounted eye-tracking, this study reveals that natural gaze behaviors, specifically the interplay between gaze shifts and fixations, dynamically organize and modulate visual cortex responses in a manner tightly coupled to visual input.
This study utilizes advanced imaging and molecular techniques in the beetle *T. castaneum* to demonstrate that the transcription factor foxQ2II specifically marks distinct clusters of fast-acting, non-GABAergic interneurons, including dopaminergic neurons, within higher-order brain centers like the mushroom bodies and central complex.
This paper introduces the Spinotrode, a novel vertebral implant that enables stable, long-term single-unit recordings from the dorsal horns of freely moving mice, revealing distinct neural dynamics during natural behaviors and challenging previous findings derived from anesthetized subjects.
This paper introduces and validates a modular, cap-based OPM-MEG array that overcomes the cost, time, and accessibility limitations of custom scannercasts while maintaining high signal precision and enabling mobile, high-throughput neuroimaging for naturalistic and clinical studies.
By combining kinematics-informed deep contrastive learning with dynamical-systems modeling in two dual-EEG studies, the authors demonstrate that interpersonal coordination arises from the geometric and temporal alignment of low-dimensional neural manifolds that co-regulate flexible, attractor-like dynamics across interacting partners.