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 in vivo ultrasound-induced tissue displacement, rather than simulated acoustic intensity, serves as a reliable predictor of dose-dependent functional neuromodulation in a human thalamocortical circuit, establishing a foundation for individualized transcranial ultrasound dosing.
This study demonstrates that mice lacking both the neocortex and hippocampus can rapidly learn, generalize, and retain complex 3D spatial navigation tasks, indicating that these sophisticated cognitive abilities do not strictly depend on these brain structures.
This paper demonstrates that while null models can serve as statistical benchmarks for Lesion Network Mapping, they fail to resolve the method's core limitation of non-specificity because they merely transform the underlying connectome matrix while retaining its inherent low-dimensional structure and spatial overlap across unrelated conditions.
The paper introduces SILICA-SNC, a novel framework that transforms whole-brain tractography into an anatomically interpretable structural network by decomposing streamlines into independent components and characterizing their coupling, thereby revealing a highly organized and stable group architecture that recapitulates major white matter systems.
This study demonstrates that applying multivariate information theory to resting-state fMRI reveals that higher-order redundant interdependencies within epileptogenic networks, particularly in non-temporal lobe epilepsy, serve as clinically relevant biomarkers for predicting surgical outcomes in drug-resistant focal epilepsy.
This study provides causal evidence that subthreshold galvanic vestibular stimulation, specifically when timed to mimic the afferent firing of anticipatory head movements, significantly enhances the temporal precision of human motor synchronization to musical rhythms.
The paper introduces DeepFisFis, a high-speed neural network that detects mouse ultrasonic vocalizations in real time, enabling closed-loop experimental interventions and efficient event-triggered data acquisition.
This paper proposes and models a mechanism where theta sweeps in grid and place cells broadcast sensory information to unvisited regions, thereby accelerating cognitive map learning from limited experiences and suggesting a transition from broad learning to local refinement as environments become familiar.
This study reveals that supramammillary inputs onto adult-born dentate granule cells undergo a sequential maturation process from initial GABAergic-only transmission to glutamate/GABA co-transmission, a transition driven by activity-dependent postsynaptic maturation that enables synaptic plasticity.
This study demonstrates that oxytocin and vasopressin immunoreactivity in specific auditory brainstem nuclei varies significantly across rodent species with different social systems, suggesting that neuropeptide signaling in early auditory pathways contributes to the neural integration of social and auditory information.