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 paper presents an optimized polysome profiling protocol for low-input human postmortem brain tissue that utilizes a manual, gradient-maker-free sucrose gradient method to overcome sample quality and quantity challenges, while also demonstrating its adaptability to neuronal cell lines and mouse brain.
This study demonstrates that environmental stress-induced remodeling of the *C. elegans* dauer connectome involves stage-specific expansion of gap junctions, which accelerates neuronal dynamics to shorten avoidance duration while preserving initiation, thereby balancing behavioral flexibility and stability for survival.
This study demonstrates that while EAAT inhibition disrupts hippocampal sharp-wave ripple synchrony by inducing glutamate-mediated hyperexcitability, this network dysfunction can be specifically mitigated by KCNQ-channel openers, suggesting a targeted therapeutic approach for early Alzheimer's disease.
This study demonstrates that the loss of the autism-associated gene *Cntnap2* impairs peripheral vestibular signaling and balance in mice, leading to deficits in spatial cognition that support a model where disrupted sensory input contributes to autism-related behavioral phenotypes.
Using a computational model of the pyramidal-interneuron circuit, this study demonstrates that persistent gamma oscillations in the prefrontal cortex are intrinsically more vulnerable to schizophrenia-related synaptic alterations than stimulus-locked oscillations in the visual cortex due to a narrower margin of oscillatory stability.
This paper proposes a minimal mean-field neural circuit model featuring nonlinear gating and recurrent excitation that unifies the mechanisms underlying flexible perceptual, memory-based, and abstract decision-making by replicating parietal cortical dynamics and predicting specific behavioral interference patterns.
This study demonstrates that flexible evidence accumulation during perceptual decision-making is supported by two independent mechanisms: stimulus-specific sensory adaptation in the MT area that shapes evidence encoding, and pupil-linked arousal that likely modulates the accumulation process itself.
This study reveals that visuomotor flexibility in the marmoset frontal cortex arises from a mosaic organization of visual and motor maps with distinct spatial scales, where their superposition creates a moiré pattern that enables flexible transformations between visual inputs and saccade outputs.
This study demonstrates that volumetric reductions in specific thalamic nuclei, detectable via standard T1-weighted MRI, serve as practical biomarkers for identifying preclinical and symptomatic Alzheimer's disease and improving clinical classification accuracy.
The paper introduces the Decisions From Experience Database (DfE-DB), a comprehensive open-access resource harmonizing 3.8 million trial-level decisions from 11,921 participants across 168 studies to enable systematic comparisons of how design features shape human decision-making tendencies and foster reproducible research.