1795 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 fine-tuning the DeepMReye deep learning framework on visuomotor calibration data enables accurate, camera-free reconstruction of gaze and eyelid states during eyes-closed periods in fMRI, overcoming a major limitation in studying non-visual cognitive states.
Through computational simulations, this study resolves the synchronization/desynchronization conundrum by demonstrating that spike-timing-dependent plasticity (STDP) and neuronal synchrony form a regulatory loop where STDP dynamically modulates synchronization levels to facilitate memory formation and information encoding.
This in vitro study demonstrates that dual immunoliposomes targeting PD-L1 and CSF1R on tumor-conditioned macrophages enhance T-cell proliferation, survival, and migration in glioblastoma and medulloblastoma models more effectively than single-target therapies, suggesting a promising strategy for reprogramming the immunosuppressive tumor microenvironment in brain cancers.
This study demonstrates that a single dose of 4-hydroxytamoxifen induces lasting aversive effects on alcohol, contexts, and tastants, suggesting that experimental designs using this compound must control for its aversiveness while highlighting the implicated brain areas as potential therapeutic targets for addiction.
Preregistered behavioral experiments demonstrate that human decision-making aligns with formal statistical model selection principles by systematically preferring simpler explanations for uncertain data to avoid overfitting, a tendency that persists even when maladaptive and distinguishes humans from certain artificial neural networks.
This study reveals that the selective retention of the stem cell-specific miR-290-295 cluster in adult Substantia Nigra dopamine neurons is neuroprotective, as it targets PTEN to sustain PI3K-AKT-mTOR signaling and protein synthesis, thereby preserving dopamine biogenesis and preventing neuronal loss.
This study identifies dI3 neurons in the spinal cord as critical comparator circuits that integrate efference copies of motor commands with multimodal sensory feedback to mediate rapid, online corrections of ongoing movements.
This study employs 3D Convolutional Neural Networks to analyze structural MRI data, revealing that atypical macrostructural changes in the left frontal and temporal lobes and specific functional networks underlie the phenotypic heterogeneity of Autism Spectrum Disorder, thereby offering insights for diagnostic subtyping.
Early life adversity promotes adolescent avoidance behavior by strengthening a specific CRH+ glutamatergic pathway between the medial prefrontal cortex and basolateral amygdala, a mechanism that is developmentally sensitive and reversible during adolescence but not in adulthood.
Through eight fMRI studies, researchers identified a distinct neurofunctional signature of romantic love that generalizes to social media rewards, is selectively enhanced by oxytocin, and predicts heavy cannabis use, revealing shared mechanisms between social bonding and addiction.