1527 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.
By manipulating linguistic features in predictability-matched sentences, this study demonstrates that hierarchical linguistic composition, particularly syntactic structure and associative semantics, significantly drives the alignment between LLM representations and human brain activity, while compositional semantics appears to be more uniquely encoded in the human brain.
Using a 40-hour forced desynchrony protocol to separate circadian and homeostatic influences, this study found no evidence that the circadian pacemaker modulates human cone-mediated temporal contrast sensitivity, suggesting that previously reported time-of-day effects likely stem from other factors such as sleep-wake cycles or pupil changes.
This study demonstrates that while simultaneous visual distractors bias the perceived location of a sound (the ventriloquism effect), preceding visual distractors primarily delay the response latency without affecting spatial accuracy, revealing a functional dissociation in how the brain integrates spatial and temporal multisensory cues.
This study demonstrates that individual differences in autonomic nervous system reactivity, specifically the congruence of sympathetic and parasympathetic responses, significantly modulate the ability to learn probabilistic patterns from speech streams under stressful conditions, with sympathetic activity aiding encoding and parasympathetic activity supporting consolidation.
This paper introduces a unified statistical framework called G-taxonomy, which integrates state-space modeling and variational inference to simultaneously extract Granger causal interactions among sensory stimuli, neuronal ensembles, and behavior from noisy two-photon calcium imaging data, revealing distinct neuronal groups and connectivity patterns associated with correct versus incorrect behavioral outcomes in the mouse auditory cortex.
This study reveals a paradoxical relationship in retinal ganglion cell degeneration where, although surviving cells naturally maintain higher homeostatic mitochondrial calcium levels, experimentally reducing these levels or blocking calcium entry via the mitochondrial calcium uniporter (MCU) unexpectedly enhances neuronal survival following axon injury.
This mega-analysis reveals that children and adolescents with Tourette syndrome exhibit a significant developmental delay in reaching adult levels of cortical motor excitability compared to neurotypical controls, a difference that resolves by adulthood and suggests a lag in the maturation of functional brain networks rather than a permanent deficit.
This study introduces adapted expansion microscopy protocols (ExRPath and 15ExMPath) compatible with human pathology specimens to achieve high-resolution imaging of COVID-19 decedent brain tissue, revealing periodic amyloid nanoclusters co-localized with SARS-CoV-2 that suggest a novel neuroinflammatory disease mechanism.
This study reveals that in *C. elegans* AFD thermosensory neurons, a repressive regulatory cascade involving the RCAN-1 calcineurin regulator and MEF-2 transcription factor, alongside the CRH-1/CREB pathway, precisely shapes the temporal dynamics of activity-regulated gene expression in response to temperature changes.
This paper introduces MM-ComBat and MM-CovBat, multivariate frameworks that jointly harmonize multi-metric neuroimaging data by leveraging cross-metric dependencies and correcting both mean and covariance batch effects, thereby outperforming traditional single-metric methods in preserving biological structure and recovering true correlations.