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 paper presents a low-cost, modular, and open-source hardware and software platform that simplifies head-fixed rodent decision-making tasks by automating training to reduce experimenter labor and lower the barrier to entry for neuroscience research.
This paper proposes a continuous attractor neural network model that implements decision-making by integrating complementary ramping and sequential neural codes within a Laplace-domain framework, successfully reproducing both the behavioral statistics of diffusion decision models and the heterogeneous neural dynamics observed in biological systems.
This study demonstrates that the PEDF/PEDF-R signaling axis is essential for maintaining retinal phospholipid homeostasis, thereby ensuring photoreceptor survival, proper synaptic connectivity, and visual function.
By training recurrent neural networks with varying degrees of spatial constraints on a working-memory task, this study demonstrates that only networks embedding the brain's physical geometry can successfully predict empirical fMRI activity and develop brain-like topological features, revealing that physical geometry and cognitive inputs play distinct, complementary roles in shaping emergent brain dynamics.
This quasi-experimental study demonstrates that a brief, personalized training program (NExT-U) significantly improves specific executive functions, such as conscious behavior regulation and emotional regulation, in Cuban university students, thereby confirming cognitive plasticity in young adults.
This study demonstrates that early alpha-synuclein aggregation in corticostriatal terminals impairs glutamatergic transmission and reduces synaptic density without causing neuronal degeneration, highlighting presynaptic dysfunction as a critical early therapeutic target in Lewy body diseases.
This study demonstrates that explaining knowledge to others reveals spatially structured conceptual memory in natural speech, a process that is particularly prominent after image-based learning but selectively impaired by cognitive disorganization.
This study reveals that sex significantly modulates hippocampal and cortical NMDA receptor density trajectories across the Alzheimer's disease continuum, with women showing earlier receptor loss in the mild cognitive impairment stage and distinct correlations between receptor density, tau pathology, and cognitive decline compared to men.
This study demonstrates that when external perceptual and internal working memory demands compete, attention is not divided evenly but instead exhibits a distinct, asymmetric prioritization state where perceptual performance benefits from cross-domain attention while working memory suffers, supported by separable neural competition dynamics that progressively favor external information.
This study demonstrates that the PARP-1 inhibitor 3-aminobenzamide provides multi-system protection against chronic stress-induced behavioral deficits, cardiovascular dysfunction, and neuroinflammation in a rodent model, suggesting its potential as a therapeutic target for stress-related disorders like major depressive disorder.