1820 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 social relevance—such as the presence of dialogue or directed speech—enhances the cortical tracking of speech envelopes, proving that social context significantly shapes neural speech processing even when acoustic properties remain identical.
Using CRISPR interference screens in iPSC-derived microglia, this study identifies and characterizes 31 transcriptional regulators that control diverse microglial activation states, providing potential targets for modulating immune responses in brain disorders.
By applying a stabilization model to standing and walking data, this study demonstrates that while effective delays and control gains vary across tasks, the body maintains a consistent task-level stabilization strategy by keeping the ratio of position to velocity gains close to the body's natural frequency.
This study demonstrates that reciprocal repulsion between inversely expressed cell-surface proteins Teneurin-m and Capricious drives the segregation of dendrites into discrete spatial domains within the Drosophila olfactory circuit.
This study establishes a comprehensive, open-access normative database of TMS-EEG metrics derived from 164 healthy adults, characterizing the reliability and redundancy of 968 features to enable validated individual-level cortical excitability and connectivity assessments.
This study demonstrates that predictive pursuit in high-dimensional recurrent neural networks emerges through the development of internal target predictions and egocentric representations, requiring sufficient network rank to support allocentric coding and aligning with observed rodent behavior.
By using longitudinal mesoscopic calcium imaging in mice following bilateral enucleation, this study reveals that adult cortical plasticity occurs through two distinct, overlapping temporal windows characterized by spatially dissociated changes in activity patterns and network structure.
The paper argues that the previously reported mismatch between BOLD signals and oxygen metabolism is primarily driven by high statistical uncertainty and noise in metabolic estimates rather than actual physiological reversals.
This study demonstrates that a mismatch between spontaneous neural activity and glymphatic clearance, which is transcriptionally linked to synaptic function, serves as a comprehensive mechanism driving regional amyloid-β deposition and neurodegeneration in the human cortex.
This study demonstrates that precise high-density theta burst stimulation of the rat medial prefrontal cortex prevents the incubation of cocaine craving and restores functional connectivity, providing a mechanistic foundation for translating targeted TMS as a therapeutic intervention for cocaine use disorder.