1527 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 reduced expression of α5 subunit-containing GABA-A receptors in the prelimbic cortex impairs visual perceptual learning in rats, suggesting that restoring this specific inhibitory signaling pathway could offer therapeutic benefits for neuropsychiatric disorders characterized by perceptual deficits.
This study demonstrates that incorporating non-spectral EEG features across specific working memory paradigms enhances the prediction of working memory capacity and reaction time variability in a validation dataset, whereas models for psychopathology and task accuracy failed to generalize, highlighting the functional heterogeneity of working memory tasks and the necessity of rigorous validation in brain-behavior research.
This study demonstrates that while both hearing loss and the 22q11.2 deletion impair auditory cortical temporal acuity in mice, they exert distinct mechanisms: hearing loss broadly disrupts neural population activity, whereas the genetic deletion selectively impairs regular-spiking excitatory neurons while sparing fast-spiking inhibitory neurons.
This paper utilizes a data-driven pipeline to identify that a low-dimensional spatiotemporal structure, composed of specific patterns and transient substates, reliably encodes and predicts emotional intent in both non-verbal expressions and emotive speech, offering a framework for understanding dynamic social cues and designing expressive social agents.
This study demonstrates that utilizing age-specific functional templates significantly enhances hyperalignment accuracy across diverse age groups compared to canonical templates, thereby improving the analysis of shared brain information and supporting the development of age-sensitive diagnostic tools.
This study demonstrates that individual differences in visual working memory performance are predicted by the fine-grained microstructural and architectural properties of the early visual cortex, particularly V1 and V3, thereby supporting the sensory recruitment hypothesis.
This study uses computational modeling to demonstrate that cell-type-specific synaptic scaling mechanisms, particularly the synergistic interaction between excitatory and parvalbumin-mediated inhibitory scaling versus the antagonistic somatostatin-mediated scaling, orchestrate the transition of associative memories from generalized to precise representations.
This EEG study reveals that while children with developmental language disorder (DLD) exhibit globally intact low-frequency cortical speech tracking, they display a specific impairment in delta-band tracking within the right temporal cortex, suggesting that such deficits are spatially constrained to the right hemisphere rather than being a global phenomenon as seen in developmental dyslexia.
This study demonstrates that psilocybin prolongs stimulus-evoked capillary and surface vessel blood flow in the mouse visual cortex without altering neural activity, suggesting that such neurovascular coupling changes may confound the interpretation of functional connectivity in human neuroimaging studies of psychedelics.
Using 7T-fMRI and a novel comparative multivariate decoding framework, this study demonstrates that the anterior temporal lobes and posterior cortical regions represent domain-general semantic information through an anatomically clustered, multidimensional vector-space code, thereby adjudicating between competing theories of semantic representation.