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 proposes a joint modeling framework that links non-decision time to external EEG measurements to resolve parameter estimation unreliability in time-dependent threshold diffusion models, thereby enabling robust inference of individual differences in decision dynamics.
This study demonstrates that Drosophila orthologues of human oculocutaneous albinism-associated genes (specifically OCA2 and SLC45A2) are evolutionarily conserved regulators of sleep and circadian rhythms, functioning through the modulation of visual neurotransmission.
This study demonstrates that while the primary motor cortex and hippocampus employ distinct population dynamics and architectural constraints to achieve volitional learning, they converge on equivalent behavioral outcomes through a principled degeneracy where local network structures shape divergent implementations of the same associative learning problem.
By integrating single-cell spatial transcriptomics with snRNA-seq, this study systematically maps the cellular heterogeneity and spatial organization of the mouse amygdala, revealing that developmental origins dictate subnuclear positioning and establishing a novel functional modular architecture to advance the understanding of amygdala-related neuropsychiatric disorders.
This study demonstrates that during flexible decision-making, human latent-state inference coordinates with selective attention and a systematic reorganization of neural representational geometry to prioritize behaviorally relevant information and support adaptive behavior.
This study reveals that descending pain-control circuits in the rostral ventromedial medulla (RVM) exhibit structured multi-timescale dynamics, characterized by rapid, stimulus-driven responses and slower, statistically predictable fluctuations that coordinate defensive reactions with ongoing physiological states.
This study demonstrates that wearable on-scalp OPM-MEG and conventional cryogenic SQUID-MEG yield measurement-equivalent results for auditory and somatosensory cortical mapping across development, recovering the same cortical generators and supporting equivalent biological interpretations despite predictable, geometry-dependent spatial offsets.
This study demonstrates that age- and sex-dependent auditory neurophysiological deficits in a Cln3-/- mouse model of Batten disease are directly linked to region-specific lysosomal storage pathology within the auditory thalamocortical circuit, providing a functional-anatomical framework for developing translational biomarkers.
This study demonstrates that the laminar organization of the decision circuit in the mouse orbitofrontal cortex, characterized by layer-specific variable representation and winner-take-all comparisons in layer 5, remains consistent regardless of whether neurons encode single or multiple decision variables.
This study reveals that during spatial working memory, hippocampal reward-ensemble neurons exhibit sustained firing aligned with reward consumption, which is characterized by a distinct state of coordinated chewing-linked theta oscillations and sharp-wave ripples that dynamically coordinate across task phases.