1306 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.
Using whole-brain two-photon imaging in larval zebrafish, researchers revealed that number-selective neurons emerge in a specific developmental sequence, with cells tuned to single quantities appearing first and followed by those for higher numbers, ultimately forming a structured neuronal code for numerical cognition.
This study demonstrates that in the Fmr1-KO mouse model of autism, altered tactile perception arises not from uniform sensory deficits but from context-dependent cognitive processes that differentially affect how sensory information is weighted, integrated, and utilized during decision-making.
This study identifies a conserved, early-onset oligodendrocyte dysfunction signature in Alzheimer's disease and other neurodegenerative conditions by integrating multi-omics data to reveal that cell-type-specific DNA methylation changes drive altered gene expression throughout disease progression.
Using 7-Tesla fMRI and Procrustean transformation, this study demonstrates that a shared, high-dimensional neural architecture for encoding sequential finger movements exists across individuals in the human sensorimotor cortex, offering a foundation for calibration-free brain-computer interfaces and cross-subject motor rehabilitation models.
This study elucidates a reciprocal regulatory mechanism in Parkinson's disease where PP2A dephosphorylates LRRK2 to reduce its kinase activity, while LRRK2 phosphorylates the PP2A subunit PPP2CA at T304 to impair holoenzyme formation, a disruption that exacerbates LRRK2-G2019S-induced neuronal death.
This paper introduces QuNex recipes, a framework within the QuNex platform that defines neuroimaging workflows in transparent, executable, and human-readable formats to ensure complete reproducibility and facilitate the sharing of best practices by requiring only the software version, recipe file, and data for replication.
This EEG study demonstrates that observing synchronized videos of touch enhances the perception and neural processing of digitally rendered gentle stroking compared to tapping, revealing a cross-modal mechanism where visual inputs first integrate with tactile sensory signals at centroparietal sites before modulating hedonic valuation in frontal brain regions.
This study demonstrates that temporal contrast enhancement (offset analgesia) is a supramodal filtering mechanism affecting both pain and sound perception with modality-specific dynamics, yet its subjective effects lack corresponding signatures in EEG or pupillometry measures.
This study demonstrates that meta-learning in rats involves the systematic reshaping of low-dimensional medial prefrontal cortical dynamics, which integrate task structure and value to enable flexible inference and value updating based on abstract environmental rules.
By combining visual adaptation with computational modeling, this study demonstrates that the human visual system employs a generalized, direction-sensitive neural mechanism that encodes local biological kinematics in a highly invariant manner across diverse species, actions, and viewpoints, while remaining selective for natural biological dynamics.