1519 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 prior knowledge only weakly influences neural indices of linguistic encoding, it robustly enhances a distinct EEG signal associated with perceptual evidence accumulation, thereby providing electrophysiological support for a Bayesian framework where top-down predictions significantly improve the perception of degraded speech.
This study demonstrates that neural speech tracking in infants is shaped by both early perinatal language exposure and cognitive maturation, showing a native-language advantage in the delta band during the first two months of life that gradually diminishes as the brain reorganizes.
This study demonstrates that perceptual expectations derived from sex/gender stereotypes facilitate face processing in a task-dependent manner, accelerating the emergence of neural coding patterns rather than merely increasing evidence accumulation rates.
In a 12-month pig study, the FDA-approved sutureless Nerve Tape demonstrated durable structural and functional recovery comparable to traditional microsuturing, with superior distal motor reinnervation outcomes.
By analyzing over 1.3 million encoding events, this study reveals that while spectral signatures like alpha suppression and theta enhancement predict successful memory at the group level, high-performing individuals actually exhibit reduced reliance on these phasic neural markers compared to poor learners, suggesting that efficient encoding is characterized by a diminished need for such spectral activity.
This study demonstrates that baseline mu-opioid receptor availability predicts individual differences in neural activation during emotion regulation, with higher receptor levels associated with stronger initial responses to emotional stimuli and effective modulation of these responses through cognitive reappraisal.
The BRIAN framework demonstrates that incorporating diffusion-derived orientation priors into streamline modelling significantly improves the geometric reproduction of the MRI-visible glioblastoma core compared to isotropic spread, although using advanced multi-shell SHORE reconstruction did not yield further benefits over standard single-tensor models in this specific validation context.
This study reveals that the evolutionary expansion of glutamate/GABA co-release in the lateral habenula enables diverse temporal difference-like computations, thereby supporting sophisticated reinforcement learning and intelligent decision-making across vertebrates.
This study of 87 children reveals that while the Visual Word Form Area (VWFA) is smaller in individuals with dyslexia, its precise anatomical location relative to brain structure and white matter tracts does not differ from typical readers nor correlate with reading ability.
This study demonstrates that internally generated mental imagery in the human parietal cortex adheres to a cognitive topography where the spatial location of neural activity relative to primary sensory regions and intrinsic connectivity profiles dictates whether the imagery is modality-specific or multisensory.