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 proposes and validates a computational model suggesting that the primary function of continual learning in the resource-constrained insect brain is to facilitate forgetting, thereby enabling the acquisition of new information while minimizing the negative impacts of memory loss.
This study demonstrates that ambiguity aversion stems from heterogeneous internal belief models rather than a uniform bias, revealing that pupil-linked arousal tracks these subjective beliefs to guide value-based decision-making under ambiguity.
This study reveals that forgetting arises from the active reorganization and "contamination" of hippocampal engram coactivity networks during a specific protein synthesis-dependent consolidation window, where retroactive interference infiltrates the engram core to destabilize memory, whereas mature networks resist such interference.
This study presents a large-scale, precisely aligned dataset of neural spiking activity and licking behavior from 20 thirsty mice across three brain regions, designed to serve as a robust benchmark for developing and evaluating neural encoding and decoding algorithms, particularly Spiking Neural Networks.
Using MEG data from 573 participants across the adult lifespan, this study reveals that sensorimotor beta bursts propagate systematically along the posterior-anterior cortical axis during motor tasks in a receptor-dependent manner, with age-related temporal expansion of these bursts potentially mediating the slowing of motor function.
Despite the association of DOCK7 mutations with human epileptic encephalopathies, this study demonstrates that mice with targeted deletions of exons 3 and 4 in Dock7 do not exhibit heightened seizure susceptibility or excitability in a flurothyl-induced kindling model.
This study demonstrates that subjective time is dynamically constructed through statistical learning of event structure, where hierarchical representations and semantic meaning actively warp the perception of duration by compressing time within events and dilating it at boundaries, independent of dedicated internal clocks or physiological arousal.
Using laminar neurophysiology in macaques, this study demonstrates that predictable visual contexts optimize attentional selection by streamlining feedforward cortical processing to enhance target responses through reduced variability and suppress distractors via adapted dynamics, thereby revealing independent mechanisms for target enhancement and distractor suppression.
This study demonstrates that activity-dependent axonal CO2 production triggers the opening of Schwann cell Cx32 hemichannels via a mechanism involving AQP1 and carbonic anhydrase, thereby mediating neuron-to-glia signaling that regulates paranodal calcium influx and conduction velocity.
This study identifies CXCL10 as a key female-specific driver of tau pathology progression in mouse models, demonstrating that its genetic ablation significantly reduces tau burden and extends survival through a sex-dependent mechanism that operates independently of T cell infiltration or general glial activation.