1313 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.
While xylazine exhibits unique kappa opioid agonist activity among FDA-approved alpha2-adrenergic agonists, a comprehensive profiling study reveals that other drugs in this class possess distinct, non-overlapping off-target GPCR activity and signaling bias profiles that may explain their specific therapeutic and adverse effects.
This paper challenges the validity of standard hexadirectional analysis for inferring grid cell activity, demonstrating that the signal arises from firing variance rather than grid firing itself and highlighting the risk of false positives in current fMRI studies.
This PRISMA-guided systematic review of 28 studies on lower-limb cycling musculoskeletal modelling reveals significant inconsistencies in reporting, validation, and participant diversity, highlighting the urgent need for standardized practices, transparent open science, and more rigorous, inclusive research to improve reproducibility and clinical relevance.
This study demonstrates that the anterior cingulate cortex in mice supports complex associative learning by maintaining extended post-action signals that encode both the occurrence and specific type of actions, rather than tracking outcomes, thereby bridging the gap between cues, actions, and future performance.
This study demonstrates that individual neurons in the awake mouse inferior colliculus employ multiplexed temporal coding strategies, rather than simple firing rate changes, to simultaneously and interdependently encode the speed, direction, and frequency range of frequency-modulated sweeps, thereby forming a highly informative population code for complex sound features.
This paper introduces ELA/GAopt, a novel framework that employs genetic algorithms to automate the selection of optimal brain regions for energy landscape analysis, thereby overcoming the subjectivity of manual selection and revealing reproducible, condition-specific neurodynamic signatures in both creative and autism spectrum disorder populations.
This paper introduces SynaptoTagMe, a versatile genetic toolkit in *C. elegans* that enables the in vivo fluorescent labeling and conditional ablation of specific neurotransmitter vesicular transporters to map co-transmission patterns and dissect synaptic communication at single-cell resolution.
This study demonstrates that GBA1 mutations in Parkinson's disease impair lysosomal acidification via mTORC1-driven disruption of V-ATPase assembly, leading to defective mitophagy and mitochondrial dysfunction, which can be therapeutically rescued by restoring lysosomal pH using rapamycin or acidic nanoparticles.
This paper proposes a Physics-Informed Neural Network (PINN) framework that integrates finite element modeling with electromagnetic laws to solve the ill-posed MEG inverse problem, demonstrating a 30.2% improvement in accuracy over the standard Minimum Norm Estimation baseline.
This study reveals that the diverse electrophysiological parameters of neurons are not random but are organized along a hidden manifold representing a Pareto front of energy-efficient solutions, which explains the prevalence of low firing rates and adapts to metabolic demands like food restriction.