1829 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 while neither electrical nor ultrasound transcutaneous vagus nerve stimulation significantly improves associative memory recall accuracy, electrical stimulation uniquely enhances retrieval efficiency by accelerating response times for correctly recalled items.
The authors present the Modular Bionic Interface (MBI), a fully implantable, high-bandwidth, bidirectional system with a small footprint and modular design that overcomes the limitations of current tethered or bulky neuroelectronic interfaces by enabling stable, high-fidelity recording and stimulation in vivo, as demonstrated through chronic implantation in a sheep.
This study reveals that spinal cord microglia exhibit a delayed and dysfunctional response to myelin damage compared to their brain counterparts, characterized by impaired phagocytosis and sustained inflammation, which likely contributes to the failure of remyelination in the spinal cord.
This study reveals that the larval *Drosophila* mushroom body balances the need for interhemispheric integration of reinforcement signals with the preservation of lateralized sensory information, enabling both coherent perceptual decisions and side-biased navigation behaviors.
This paper demonstrates that divisive normalization can stabilize arbitrary recurrent neural networks even when their spectral radius exceeds one, revealing that the breakdown of this normalization mechanism coincides with critical slowing down and serves as an early warning signal for dynamical instability.
This study reveals that houseflies achieve ultra-fast visual precision during high-speed movement through a novel mechanism called "synaptic high-frequency jumping," which dynamically shifts photoreceptor-to-neuron transmission to higher frequencies, effectively eliminating synaptic delays and quadrupling flicker-fusion limits to synchronize perception with action within milliseconds.
Although spinal cord fMRI successfully identifies motor-evoked activation in anatomically consistent regions during a sensorimotor task, the study reveals that this activation exhibits poor-to-fair test-retest reliability both within and between visits, suggesting that inherent neurophysiological and psychological variability, rather than just measurement error, limits the technique's current utility for assessing interventions.
This paper employs numerical continuation on spheres and planes to map the unfolding of the Doubly Degenerate Bogdanov-Takens singularity, revealing new bifurcation topologies and intermediate configurations that clarify its role as an organizing center for complex neural dynamics.
This fMRI study reveals that while engaging visual media significantly reduces the perceived intensity and pleasantness of taste, it does so by reallocating neural resources to visual and attentional systems rather than by suppressing activity in core gustatory regions.
This study reveals that cortical glutamatergic activity is not stably linked to individual frequency band power but is instead driven by dynamically recurring, opponent multi-frequency amplitude co-fluctuations called spectral motifs, which provide a conserved organizational principle for mapping oscillatory dynamics to population-level circuit states.