1523 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 identifies and validates a novel "bracket coding" mechanism in the mouse visual system, characterized by dynamic, synchronized population spiking events that optimally balance rate and temporal information across hierarchical brain regions, with findings confirmed across independent datasets and supported by a computational model.
This paper introduces VADER1, a novel red-emitting, genetically encoded voltage indicator that overcomes previous limitations to enable reliable, deep-tissue, two-photon recording of neuronal action potentials in vivo while supporting spectral multiplexing with other sensors and optogenetic tools.
This study demonstrates that the retrosplenial cortex in freely moving rats dynamically organizes goal-relevant spatial representations by encoding Euclidean distance to a goal with task-dependent bias and variable-specific geometric properties, distinct from egocentric boundary signals and supported by memory and self-motion cues.
This study demonstrates that adolescent social isolation induces selective chromatin and transcriptomic remodeling in the hippocampal CA1 region, characterized by AP-1 motif accessibility changes, divergent gene expression patterns between excitatory neurons and oligodendrocytes, and a shift toward increased oligodendrocyte representation.
This study demonstrates that fetuses later diagnosed with autism spectrum disorder exhibit significantly reduced prenatal cortical surface area, particularly in frontal and insular regions, as revealed by retrospective fetal MRI analysis compared to typically developing controls.
By combining magnetoencephalography with reinforcement learning modeling, this study reveals that the human brain resolves the explore-exploit dilemma through a hierarchical spatiotemporal process where the lateral frontopolar cortex initiates exploration early, followed by delayed shifts in the ventromedial prefrontal and orbitofrontal cortices, and sustained value updating post-feedback.
This pre-registered study demonstrates that rapid, month-to-month microstructural changes in the right middle longitudinal fasciculus specifically predict individual variations in first-grade math learning, highlighting white matter plasticity as a dynamic neural substrate for early academic development.
This study demonstrates that the ASD risk gene D5Ertd579e (KIAA0232) is a regionally specific regulator of neurodevelopment whose loss selectively impairs synaptic plasticity and social behaviors in mice without affecting gross brain morphology or anxiety-related functions, thereby highlighting the critical role of uncharacterized loci in understanding the molecular mechanisms of autism.
This study utilizes temporal multi-omic profiling in a mouse ischemic stroke model to reveal that host immune responses and gut microbiome perturbations converge significantly one week after brain injury, characterized by specific microglial interactions, neutrophil transcriptomic shifts, and altered gut metabolic pathways.
This paper presents an optimized polysome profiling protocol for low-input human postmortem brain tissue that utilizes a manual, gradient-maker-free sucrose gradient method to overcome sample quality and quantity challenges, while also demonstrating its adaptability to neuronal cell lines and mouse brain.