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 study reveals that learning triggers a sublayer-specific rebalancing of communication between the anterior cingulate cortex and CA1 neurons during sharp-wave ripples, where the ACC selectively weakens its influence on task-inactive superficial CA1 neurons to facilitate memory consolidation while maintaining stable interactions with deep neurons.
This study demonstrates that autistic and neurotypical young adults exhibit comparable spontaneous interpersonal entrainment and sensitivity to visual social cues during rhythmic synchronization, suggesting that atypicalities in ASD may be selective rather than generalized.
This study demonstrates that zero prediction errors are not merely neutral events but are psychologically and computationally significant, actively shaping momentary happiness, distinct belief states, and neural feedback processing to influence subsequent learning in human reinforcement learning.
This study demonstrates that PLCγ2 deficiency in mice compromises systemic immune tolerance, erodes central myelin homeostasis, and reprograms brain oxidative metabolism, providing a mechanistic link between PLCG2 variation, white matter integrity, and neurodegenerative risk.
This paper demonstrates that incorporating neuromodulation into spiking neural networks significantly enhances their performance and energy efficiency across sensory tasks by enabling dynamic parameter adjustment, which drastically reduces the required number of neurons and firing spikes.
This study reveals that the human brain prioritizes semantic information that strengthens the small-world structure of knowledge systems, a process mediated by the language network and ventromedial prefrontal cortex to enhance learning efficiency.
This study demonstrates that early-life maternal separation in rats induces a resilient phenotype characterized by enhanced prefrontal mitochondrial bioenergetics, which protects against stress-induced negative cognitive bias in adulthood.
This study demonstrates that acetylcholine release in the ventral tegmental area acts as a state-dependent motivational gate, enabling both appetitive and aversive stimuli to drive reward-seeking and threat-avoidance behaviors.
This study demonstrates that integrating individual magnetoencephalography (MEG) data to guide the timing and location of navigated transcranial magnetic stimulation (TMS) significantly enhances the sensitivity and accuracy of speech cortical mapping by accounting for high inter-individual variability in speech network activation.
This study demonstrates that while motor signals modulate cortical processing of self-initiated sounds, they do not significantly alter early subcortical auditory encoding as reflected in frequency following responses, suggesting that motor-induced suppression primarily affects later stages of auditory processing.