1531 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 presents a systematic, data-driven workflow to develop and validate a comprehensive, general-purpose biophysical model of hippocampal CA1 pyramidal neurons that accurately replicates diverse electrophysiological features and demonstrates the necessity of explicitly modeling dendritic spines for capturing nonlinear synaptic integration.
This paper presents an automated calcium imaging pipeline that successfully characterizes and quantifies compound-specific effects on astrocyte activity across mouse and human monocultures and astrocyte-neuron cocultures, demonstrating its utility for screening drug candidates and modeling disease pathology.
This study reveals that while 3-year-olds can detect audiovisual synchrony, the ability to efficiently segregate a target speaker in a multisensory "cocktail party" scenario undergoes a qualitative shift between ages 5 and 6, driven by the maturation of dynamic gaze control strategies that organize visual sampling in relation to auditory information.
This paper proposes and validates a multi-task battery approach for functional brain mapping that outperforms traditional single-contrast localizers by providing more consistent, reliable, and sensitive individual region localization and parcellation, supported by a data-driven task selection strategy and an open-source toolbox.
This paper challenges the claim that hippocampal firing field shifts reflect integrated space-time representations by demonstrating that a simple velocity-integrating line attractor model can reproduce Chen et al.'s findings without any genuine time-encoding capabilities.
This study introduces a novel methodology that combines whole-brain light-sheet activity imaging with volume electron microscopy in the same *Drosophila* larva brain to map functional responses to synaptic-resolution circuit architecture, revealing a distributed nociceptive network spanning 25 distinct neuronal lineages.
This study reveals that Parkinson's disease is characterized by the emergence of near-critical oscillatory dynamics in the motor cortex, challenging the assumption that criticality is exclusively a feature of healthy brain function.
This study demonstrates that a music-supported oculomotor dance learning task significantly improves both spatial accuracy and temporal precision across repeated practice sessions, suggesting its potential as a neuroplasticity-promoting intervention for neurodegenerative conditions like Parkinson's disease.
Using 7T fMRS, this study reveals that while glutamate shows distinct, temporally resolved increases during working memory encoding and recall, individual variations in GABA responses during encoding specifically predict working memory accuracy, highlighting their differential roles in cognitive processing.
This study demonstrates that while bilateral glutamatergic damage to the rat mediodorsal thalamus or nucleus reuniens impairs cognitive flexibility, systemic noradrenergic administration can effectively restore performance in the attentional set-shifting task, suggesting a promising therapeutic target for thalamocortical dysfunction.