1523 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 the efficacy of multisensory integration during urgent saccadic choices is dynamically determined by the rapid interaction between stimulus-driven features and goal-driven rules, which can either enhance performance or lead to crossmodal capture depending on the alignment of cue location and task requirements.
This study utilized a novel continuous probabilistic reversal learning task to demonstrate that reward-based learning peaks around age 18 while rule-based learning peaks around age 20, revealing distinct lifespan trajectories for cognitive flexibility components that align with the differential maturation of underlying brain circuits.
This study demonstrates that intravenous midazolam reduces corticospinal excitability in both younger and older adults but differentially alters short-interval paired-pulse TMS responses by eliminating baseline inhibition in younger adults while producing minimal changes in older adults, suggesting that aging modifies the motor cortex's response to benzodiazepines.
This study demonstrates that a biophysical next-generation neural mass model successfully reproduces key features of neural speech tracking by revealing that thresholded phase-resetting triggered by sharp acoustic onsets provides a mechanistic explanation for how cortical populations generate rhythmic speech representations.
Using a whole-brain computational model, this study demonstrates that the shape of transcranial alternating current stimulation (tACS) waveforms critically determines their impact on brain network dynamics, with sinusoidal and pulsed waveforms enhancing global synchrony and reducing metastability, whereas square, triangular, and sawtooth waveforms produce weaker, fragmented modulation.
This paper introduces VFB-MCP, a Model Context Protocol implementation that connects Large Language Models to the expert-curated Virtual Fly Brain ontology, significantly outperforming standard and web-search-assisted LLMs in providing precise, verifiable, and quantified answers to Drosophila neuroscience queries.
This fMRI study of 128 adults reveals that the hippocampus and medial temporal lobe cortices exhibit distinct, phase-specific activation patterns during allocentric working memory, showing engagement even during delay maintenance but lacking a direct correlation with performance in younger adults, whereas older adults demonstrate age-related reductions in anterior hippocampal and cortical activation despite comparable task performance.
This study establishes the first activity-based framework for classifying ALS-associated NEK1 missense variants by demonstrating that they disrupt autophosphorylation at specific sites (notably pThr156) through mechanisms distinct from simple haploinsufficiency, supported by comprehensive phosphoproteomic mapping, biochemical assays, and structural modeling.
This paper presents a computational framework demonstrating that voltage-dependent synaptic dynamics and multi-spike interactions, rather than classical pairwise spike-timing rules, explain why Functional Electrical Stimulation therapy reliably induces long-term potentiation by biasing plasticity toward potentiation through physiological spike timing variability.
This study demonstrates that the resilience of neural circuits to neurodegeneration is primarily determined by the strategic embedding of inhibitory neurons in structurally central positions, which maintains stable collective dynamics despite substantial synaptic and neuronal loss.