1829 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 systematically evaluating six binding operations in recurrent spiking neural networks performing a working memory task, this study identifies that only superposition and slot-filler binding produce the factorized representational geometries observed in neural recordings, thereby establishing a taxonomy linking algebraic operations to neural signatures.
This study demonstrates that adults with dyslexia exhibit atypical neural processing of natural speech, characterized by reduced delta- and theta-band cortical decoding accuracy and cerebro-acoustic coherence, alongside increased delta-band power, particularly over the right temporal region.
This study demonstrates that applying integrated information decomposition to resting-state fMRI reveals a distinct Alzheimer's disease signature characterized by reduced global synergistic information and increased redundancy, particularly within executive and default mode networks, which correlates with cognitive decline and offers a potential biomarker for early diagnosis and stratification.
This study reveals that median eminence microglia rely on ApoE-dependent lipid handling to maintain myelin integrity and metabolic function, a process disrupted by Western diet and the APOE4 isoform but therapeutically restored by activating liver X receptor signaling to improve leptin responsiveness and limit weight gain.
This study reveals that the postnatal conversion of 5-methylcytosine to 5-hydroxymethylcytosine dynamically reconfigures the human neuronal epigenome throughout the first decade of life, establishing a clock-like link between DNA hydroxymethylation and transcription, chromatin state, and sex-specific gene regulation.
This study demonstrates that susceptibility to the Sound-Induced Flash Illusion increases with visual eccentricity due to higher integration weights in the periphery rather than sensory uncertainty, while spatial congruence between auditory and visual stimuli has no significant effect on this multisensory integration.
This study demonstrates that the loss of the calcium-binding protein Cbp53E in Drosophila causes delayed photoreceptor repolarization, a phenotype that can be rescued by the protein itself or its human homologs, indicating a conserved role in regulating intracellular calcium levels and sensory response dynamics.
This study demonstrates that the rat hypothalamus exhibits molecular and functional asymmetries in neurohormonal networks, enabling hemisphere-specific neural activity to be encoded into side-specific hormonal outputs that regulate peripheral processes via humoral pathways.
This study demonstrates that both deep neural network models and the human visual cortex exhibit a progressive integration of face and body representations along the visual hierarchy, where mixed-selective units emerge to support unified person perception.
Anatolution is an open-source, web-based platform that addresses the scarcity of reliable ground truth in optical microscopy by integrating stain-specific segmentation protocols with a structured multi-annotator workflow to generate consensus-validated training data for supervised cell-level morphometry.