1825 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 applying functional change point detection to infant fNIRS data reveals that older infants (8 and 12 months) habituate to auditory stimuli significantly faster than younger ones, uncovering developmental timing shifts in hemodynamic responses that conventional linear analyses miss.
This paper demonstrates that implementing a bio-inspired spacing effect, which integrates input and innate variations across spaced intervals, significantly enhances generalization in both artificial neural networks and biological systems (Drosophila), revealing a shared computational principle between biological and machine learning.
Noninvasive 10 Hz alpha-tACS targeting the ventrolateral prefrontal cortex modulates reward-dependent pupil responses and ventral striatum-dorsal anterior cingulate cortex connectivity, demonstrating that stimulating cortical regions can indirectly influence deep-brain reward circuitry and associated autonomic arousal.
This study reveals that while the neural sensitivity to noise broadens along the ventral visual stream, the spatial-frequency bandwidth critical for object recognition remains conserved at approximately 2 octaves, suggesting that early visual cortex (V1) establishes this channel's bandwidth while downstream areas progressively enhance its noise tolerance.
This paper expands the concentric beta-barrel hypothesis to propose atomic-scale models of soluble and transmembrane A{beta}42 oligomers and channels that incorporate GM1 gangliosides, demonstrating how these structures align with various experimental observations and support key theories regarding Alzheimer's disease toxicity and membrane disruption.
By using the Oz Vision system to emulate cone loss in healthy subjects, this study demonstrates that visual acuity remains resilient to significant photoreceptor dropout primarily due to the compensatory benefit of eye motion, which allows surviving cones to accumulate additional information and effectively double the sampling capacity compared to static conditions.
This paper introduces and validates pBOLD, a novel quality metric for multi-echo fMRI that quantifies the likelihood of BOLD-dominated signal fluctuations, demonstrating its utility in evaluating preprocessing pipelines and predicting phenotypic outcomes more effectively than traditional metrics like TSNR.
Using FDG-PET imaging in a rat model, this study identifies distinct neurometabolic signatures at rest and during heroin seeking that correlate with addiction severity and vulnerability, while revealing that social seeking does not share these metabolic alterations.
This study demonstrates that reaction time variability in rhesus macaques is linked to systemic physiological markers of arousal (heart rate and pupil diameter) across multiple timescales, supporting the conclusion that multiple arousal mechanisms operate simultaneously to influence behavior.
This study demonstrates that combining brief diethyl ether vapor exposure with Pluronic F-127 hydrogel significantly reduces motion artifacts in *Drosophila* larvae for calcium imaging without suppressing neural activity, offering an accessible, multimodal immobilization workflow validated by custom MATLAB analysis and a dual-flag quality control system.