1287 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 perceptual filling-in is modulated by the functional properties of early visual cortex, specifically the oblique effect and orientation-tuned surround suppression, thereby supporting a two-stage model where the competition between figure boundary and background representations determines the onset and duration of the phenomenon.
This study demonstrates that a single session of motor cortical stimulation induces long-lasting analgesia in chronic pain by triggering NMDA- and mu-opioid receptor-dependent neural plasticity in the rostral ventromedial medulla, a mechanism that can be enhanced by transiently boosting endogenous opioid signaling.
This study demonstrates that Temporal Mapper, a topological data analysis tool, effectively captures the complex, fine-grained postural dynamics of interacting domestic ferrets, revealing that social interactions are characterized by smaller, more widespread, and consistently sequenced unstable states compared to non-social activities.
The paper introduces ScaleSurfer, a multi-scale 3D convolutional vision transformer that accelerates human brain anatomical segmentation and morphometric feature extraction by nearly five orders of magnitude (from hours to milliseconds) while maintaining accuracy across diverse datasets and enabling real-time applications like Alzheimer's disease classification.
This study provides direct causal evidence that reactivating hippocampal engrams rapidly reinstates specific context representations in the medial prefrontal cortex, thereby configuring cortical circuits to guide flexible decision-making based on past experiences rather than fixed stimulus-response mappings.
This study demonstrates that direct eye contact enhances visual localization sensitivity within just a few milliseconds using coarse visual information, an effect that occurs unconsciously before participants can explicitly perceive or report the gaze direction.
This study demonstrates that knockout of the calcium sensors Doc2α and Syt7 in juvenile mice leads to increased hypersynchronous burst activity in hippocampal CA3 pyramidal neurons, likely mediated by altered neuropeptide release from dense-core vesicles rather than changes in synaptic vesicle release or intrinsic neuronal properties.
Using simultaneous wide-field imaging in awake mice, this study reveals that while static functional connectivity remains consistent across frequencies, behavior differentially shapes spontaneous cortical network dynamics by driving low-frequency and hemodynamic activity through state persistence, whereas higher-frequency activity relies on stable structures modulated by changes in state expression.
This study demonstrates that phasic striatal dopamine transients, which shift to sequence onsets as birdsong matures, are essential for the long-term maintenance of this naturally learned vocal skill.
By combining fMRI and EEG methods to resolve previous inconsistencies, this study demonstrates that predictive processing in early visual areas operates through a dampening mechanism that suppresses the neural response and fidelity of expected stimuli, thereby prioritizing the high-fidelity encoding of unexpected events.