1813 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.
Through a 14-day EEG study, this research provides causal evidence for a dual-systems model of habit formation, demonstrating that the lateralized readiness potential tracks covert habitual activation while frontal midline theta power reflects the neural effort required to override these habits in favor of goal-directed control.
This study demonstrates that mice can adapt to a shifted visual field through a novel prism goggle paradigm, and that this behavioral plasticity depends on the primary visual cortex, supporting the hypothesis that cortical evolution enables experience-dependent adaptation of innate behaviors.
This study demonstrates that blocking muscarinic acetylcholine receptors with biperiden impairs reinforcement learning under high uncertainty by increasing learning rates, which leads to noisier probability estimates and eliminates lateral prefrontal representations of learned reward values.
This study proposes and validates the Rhythmic-Item-Template hypothesis, demonstrating that multiple visual working memory items guide attention in alternating theta-rhythmic cycles through coordinated frontal theta and occipital alpha oscillations, thereby reconciling the debate between single- and multiple-item template theories.
This study reveals that while visual stimuli evoke dopamine release in the mouse dorsomedial striatum via a cholinergic-dependent mechanism, this signaling is driven exclusively by frontal cortical inputs rather than direct sensory cortical projections.
This study presents a novel biophysical model demonstrating that nonlinear junctional conductances in coupled astrocytes, particularly through N-shaped membrane voltage dependencies, significantly enhance membrane voltage bistability and front propagation, challenging the traditional view of glial cells as purely linear responders.
By combining behavioral modeling with neural recordings in humans, this study demonstrates that coordinated interactions between orbitofrontal value encoding and lateral prefrontal attention filtering dynamically sustain task-state representations to facilitate learning in complex environments.
This study demonstrates that blocking the opioid system with naltrexone specifically reduces exploratory behavior in response to novel, rewarding music during states of heightened curiosity, highlighting the critical role of the opioidergic system in regulating curiosity-driven exploration.
The Brain Encyclopedia Atlas Project (BEAP) is an expert-curated, publicly accessible neuroinformatics resource that synthesizes data from over 1,400 studies to create a unified, spatially grounded 3D atlas of human functional neuroanatomy, enabling systematic comparison of brain regions and facilitating research and education through an interactive, community-updatable platform.
This paper presents a biologically constrained computational model of zebra finch song learning demonstrating that a dual-pathway architecture, combining a volatile basal ganglia reinforcement learning loop with a consolidating cortical motor pathway, enables robust sensorimotor learning by effectively navigating non-convex performance landscapes and escaping local optima.