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.
This study demonstrates that a symmetric systemic challenge like water deprivation induces a directional right-biased hindlimb postural asymmetry in rats through a vasopressin-dependent mechanism involving both pituitary and spinal signaling pathways.
This study presents a stable, inducible human iPSC line engineered to efficiently generate functional human astrocytes that support the growth and synchronous activity of mature neuronal networks, thereby offering a standardized, translationally relevant alternative to mouse astrocytes or complex differentiation protocols.
This study demonstrates that suboptimal locomotor performance in novel environments stems from a fall-risk-aware adaptation strategy where individuals prioritize safety over efficiency by adjusting internal learning parameters, a mechanism quantified through a new inverse adaptation modeling framework.
Using a novel robotic maze task, this study demonstrates that humans adaptively integrate model-based and model-free reinforcement learning strategies to navigate reachable space, shifting toward more efficient model-free control as familiarity increases and revealing that spatial learning architectures are shared across scales but calibrated to the specific constraints of the effector system.
This study demonstrates that psilocybin's rapid and sustained antidepressant effects are mediated by the modulation of affective biases through the 5HT1A/5HT2A receptor-dependent suppression of excitatory inputs to prelimbic cortico-amygdala projection neurons, which subsequently shifts to enhanced inhibitory input and mimics the drug's behavioral effects when these neurons are chemogenetically inhibited.
Through multi-modality and multi-cohort replications, this study demonstrates that individuals with Corpus Callosum Dysgenesis exhibit normal perceptual accuracy but significantly impaired metacognitive efficiency due to a failure to align confidence judgments with task difficulty, highlighting the corpus callosum's crucial role in supporting metacognition.
This study reveals that cerebellar granule cells resolve the generalization-separation tradeoff by applying affine transformations that rotate low-dimensional cortical manifolds to distinguish contexts while preserving their intrinsic geometric structure, thereby enabling both smooth generalization and context-specific output.
This study demonstrates that individual-level metabolic connectivity reflects cortical morphometric similarity and that this coupling systematically strengthens with age, particularly in visual, parietal, and premotor regions, suggesting a progressive alignment of metabolic coordination with brain architecture in the aging brain.
This paper demonstrates that human responses to sensorimotor perturbations are often characterized by an abrupt, insight-driven "Aha!" moment that triggers a sudden strategic shift, rather than the gradual error minimization or trial-and-error learning previously assumed.
Using two-photon calcium imaging in awake macaques, this study demonstrates that continuous flash suppression substantially diminishes V1 neuronal responses and population orientation coding, suggesting that while coarse orientation discrimination remains possible, the severely degraded neural signals are insufficient to support high-level visual and cognitive processing.