1519 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 presents a fully integrated, low-latency neuromorphic framework that utilizes energy-efficient spiking neural networks to detect and manipulate hippocampal ripples in awake mice in real time, achieving closed-loop control with significantly lower energy consumption than conventional deep learning approaches.
This fMRI study reveals that while both ADHD and OCD are often characterized by inflexible behavior, they exhibit distinct neurobehavioural profiles during volitional switching, with ADHD patients showing increased erroneous switching and reduced frontal activity, whereas OCD patients display normal performance but heightened sensorimotor activation.
This study found that young adults carrying the APOE ε4 allele, a major genetic risk factor for Alzheimer's disease, show no significant differences in spatial navigation or broader cognitive abilities compared to non-carriers, suggesting that APOE-related behavioral changes are minimal decades before potential dementia onset.
This study demonstrates that individual differences in the hemispheric asymmetry of specific subcortical structures predict corresponding lateralization patterns in resting-state cortical oscillatory power across distinct frequency bands, highlighting a functional link between subcortical anatomy and spontaneous brain dynamics.
This study identifies teneurins as the specific receptors for SPARCL1, demonstrating that its C-terminal follistatin-like domain mediates binding to teneurins while its Ca2+-binding domain is required to trigger synapse formation.
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.