1829 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 protocol for performing calcium imaging on acute brain slices from *Octopus vulgaris* hatchlings to characterize single-cell responses to neurotransmitters, a method adaptable to other small invertebrate species.
This paper presents a high-throughput automated pipeline combining Suite2p and Python scripts to analyze tens of thousands of synapses via calcium imaging, enabling sensitive detection of synaptic dysfunction and facilitating drug discovery for cognitive disorders.
This imaging epidemiology study of 2,826 individuals reveals that residing in neighborhoods with high socioeconomic disadvantage is significantly associated with adverse brain morphometry, including accelerated brain aging, reduced total brain volume, and amplified vascular-related regional volume loss.
This study demonstrates that elevated foveal crowding in individuals with albinism results from a combination of abnormal retinal development and nystagmus-induced image motion, evidenced by a distinct spatial anisotropy and a lack of featural selectivity compared to controls and those with nystagmus alone.
This study demonstrates that both humans and recurrent neural networks can spontaneously learn and flexibly adapt to conflicting visual associations across unsignaled, shifting contexts, with the neural networks' success attributed to distributed internal representations that prevent catastrophic interference.
This study reveals that while individuals with ADHD retain the ability to learn spatiotemporal regularities in dynamic environments, they exhibit a specific deficit in progressively optimizing their behavior based on these predictions over longer timescales compared to neurotypical controls.
This study of 229 children aged 8–12 reveals that third-party altruistic behavior is driven by a complex "motive cocktail" of multiple dissociable prosocial motives, where children balance fairness concerns against self-interest in ways that vary by gender, intervention cost, and impact on outcomes.
This study demonstrates that in a macaque model of early-stage Alzheimer's disease, progressive tau pathology disrupts the coordinated organization of neuronal populations across visual and parietal cortices, leading to disorganized behavior despite preserved single-neuron function and task performance, a deficit that can be transiently improved with methylphenidate.
This study demonstrates that simple vividness ratings serve as a robust, objective measure for a broad spectrum of internally generated visual experiences, suggesting that the definition of visual aphantasia should be refined to distinguish between those who faintly or unconsciously perceive mental images and those who completely lack pictorial representations.
This study presents an in silico twin framework that successfully models and experimentally validates how mechanical interactions with a stiffer extracellular matrix drive persistent axonal growth in hippocampal neurons, offering a tool to distinguish passive physical mechanisms from complex chemical signaling.