1296 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 endogenous α-synuclein acts as a calcium- and phosphorylation-dependent regulator of spontaneous dopamine release by localizing near L-type calcium channels and binding to synaptic vesicles, suggesting that its S129 phosphorylation state reflects physiological function rather than solely serving as a pathological marker.
This study demonstrates that different serotonergic psychedelics and MDMA exert distinct modulatory effects on affective biases in male rats, with N,N-DMT showing sustained positive biasing of new experiences similar to conventional antidepressants, while MDMA specifically attenuated negative memories, suggesting divergent mechanisms relevant to their potential antidepressant efficacy.
By repeatedly sequencing three distinct *Drosophila* sensory neurons, this study identifies a small set of cell surface molecules that define unique synaptic connectivity patterns and demonstrates that manipulating these receptors can alter neuronal wiring.
Using ultra-high-field 7T layer-fMRI, this study demonstrates that perceptual filling-in in human V1 is supported by neural activity in deep cortical layers, providing direct evidence for the critical role of feedback signaling in visual surface perception.
This study challenges the prevailing view that Late Positive Potential (LPP) modulation reflects volitional emotional control, demonstrating instead that LPP amplitude reductions during both emotion suppression and enhancement instructions are driven by dual-task cognitive load, thereby revealing a critical dissociation between neural markers and self-reported behavioral regulation.
This study utilizes spatial transcriptomics to demonstrate that gangliogliomas sustain persistent neuronal precursor-like cells within structured tumor-brain interface niches, driven by a convergence of extracellular matrix remodeling, vascular-immune signaling, and developmental program co-option that explains both the tumor's indolent growth and its epileptogenic potential.
This study demonstrates that while broadband neural complexity remains stable across varying levels of perceptual clarity, time- and frequency-resolved information-theoretic measures can effectively track graded auditory awareness through specific spectral shifts and temporal dynamics in EEG signals.
Using a gamified fMRI approach, this study reveals that while tonotopic organization is present in early childhood, the representation of low frequencies in the human auditory cortex undergoes prolonged maturation that directly correlates with improved behavioral tone detection thresholds.
This study demonstrates that face-selective cortical regions inherit the systematic visuospatial sampling biases of early visual cortex, revealing that the spatial organization of high-level face processing is built upon fundamental anisotropies in visual-field coverage rather than being functionally distinct.
This study demonstrates that while frontal eye field (FEF) neurons encode prior beliefs during both Bayesian inference and anti-Bayesian categorization tasks, this neural activity specifically predicts flexible decision boundaries for categorization rather than optimal Bayesian integration, revealing that these two distinct computational mechanisms are dissociable in the primate brain.