1825 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 paper proposes a theoretical framework demonstrating that local dendritic excitatory-inhibitory balance and branch-specific inhibition enable biophysical spiking circuits to store and selectively recall overlapping associative memories by creating binary-like states, enlarging attraction basins, and autonomously gating access to distinct memory sets.
This study demonstrates that lactation drives increased food-seeking and hedonic feeding in mice by enhancing mesolimbic dopamine signaling from the ventral tegmental area to the nucleus accumbens, a mechanism that is essential for supporting the elevated energy demands of milk production.
This paper introduces "channel capacity," a model-based measure of directed information transfer combined with a sliding-window framework, and validates its ability to sensitively detect task-related changes, specifically avoid false positives, and capture meaningful temporal variability in dynamic brain connectivity across human and rodent multimodal neuroimaging datasets.
This magnetoencephalography study reveals that viewing the "Inscapes" animation and eyes-open rest produce distinct aperiodic neural activity profiles, particularly showing widespread differences in frontoparietal and occipital regions with a specific reversal in the primary visual cortex, indicating that these two conditions are not interchangeable for analyzing broadband spectral dynamics or excitation/inhibition balance.
This study demonstrates that the antipsychotic drug clozapine suppresses psychosis-like behaviors in mice by reducing anti-NMDAR autoantibody levels and subsequent microglial phagocytosis, thereby revealing a novel immunomodulatory mechanism of action for antipsychotic drugs.
This study demonstrates that AAV-delivered, mutant allele-specific RNA interference effectively prevents and reverses myofibrillar myopathy in a mouse model by restoring the disrupted LDB3-PKC-FLNc mechanosensing pathway and normalizing associated protein aggregates and signaling networks.
While children with developmental language disorder (DLD) achieve comparable behavioral learning from pseudoword repetition as typically developing peers, fMRI reveals that their underlying neural mechanisms are less efficient, characterized by reduced left-hemisphere specialization in the inferior frontal gyrus and weaker suppression of the default mode network.
By applying multidimensional diffusion-relaxation MRI to map voxel-wise microstructural phenotypes across the adult lifespan, this study reveals that normative human brain aging is characterized by a progressive, non-uniform reorganization at the cellular level, marked by increasing heterogeneity, a loss of microscopic restriction, and the expansion of extracellular space.
This study utilizes a large cohort of healthy adults and comprehensive source-reconstructed MEG analysis, while controlling for key confounding factors, to characterize healthy ageing as a frequency-specific shift in oscillatory power and increased coherence, alongside declining frontal network dynamics that appear to play a compensatory role in maintaining cognitive performance.
This study optimizes and applies molecularly-guided single-cell spatial proteomics to the mammalian brain, successfully characterizing region-specific neuronal proteomes, non-neuronal responses to injury, and disease-specific disruptions in dopaminergic neurons associated with Parkinson's disease.