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 while *C. elegans* LITE-1-dependent photosensation relies on cGMP signaling, its chemosensory function for diacetyl operates independently of this pathway.
The study demonstrates that the dizocilpine-derived compound K2060 exhibits superior efficacy and a favorable safety profile compared to memantine and ketamine in protecting against audiogenic seizures, particularly in a mouse model with impaired NMDA receptor Mg2+ block, suggesting its potential for treating conditions involving NMDA receptor hyperfunction.
This study demonstrates that long-term survival in primary cortical neuron cultures is best predicted by the preservation of burst organization and near-critical propagation dynamics, specifically the rate of change in branching ratio and Kappa index, rather than firing rate alone.
This paper presents a scalable framework that integrates high-throughput 3D light-sheet microscopy of intact rodent brains with diffusion MRI to establish predictive models linking macroscopic MRI contrasts to microscopic cellular features, thereby bridging the gap between cellular architecture and whole-brain imaging for future human translation.
By combining high-density electrocorticography with large language models, this study reveals that human speech production involves the distinct, rapidly updating, and forward-looking neural representation of multiple unsaid lexical alternatives alongside the selected word.
The paper introduces CLEAR-FORCE, a novel reservoir computing framework that enables real-time, adaptive closed-loop brain stimulation to successfully induce or suppress neural oscillations, offering a promising solution for personalized treatment of neurological disorders on low-powered hardware.
This study demonstrates that acoustic context and temporal-envelope variability significantly shape cortical encoding of spectral discrimination, revealing that temporal roving enhances the distinction between normal and hearing-impaired listeners while dissociating intensity-driven from spectrally driven neural responses.
The paper introduces Linear NeuroPaint, a computationally efficient linear baseline for cross-session neural alignment and inpainting, which demonstrates that while effective for predicting recorded areas, linear models are insufficient for accurate cross-area prediction and parameter interpretability compared to nonlinear approaches.
This study introduces a continuous amyloid staging score derived from regional PET imaging that complements global amyloid burden to better characterize early Alzheimer's disease progression and predict subsequent memory decline.
This study utilizes CRISPR/Cas9 to engineer *C. elegans* strains with stable, tissue-specific sex transformations in neurons and the gut, providing reliable reference tools to investigate the consequences of altering sexual identity in specific cell types.