1317 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 visual input through the phototransduction pathway plays a key role in promoting sleep in *Drosophila melanogaster*, as evidenced by consistent day sleep fragmentation in flies with mutations in phototransduction components.
This study utilizes a scalable cellular seeding assay coupled with single-cell RNA sequencing to demonstrate that three alpha-synuclein aggregation inhibitors (Minzasolmin, Emrusolmin, and EGCG) induce divergent transcriptional responses, particularly in lipid metabolism and rRNA processing, while partially reversing aggregation-related gene expression changes in a Parkinson's disease model.
This study utilizes a computational model to demonstrate that GABA-induced bicarbonate efflux triggers seizures by causing intracellular acidification and charge accumulation, a process that can be counteracted by active pH-regulating transporters, thereby revealing a novel pH-dependent mechanism for epileptic excitability.
Long-term oral administration of 4-methylumbelliferone (4-MU) in aged mice effectively restores age-related cognitive decline by reducing perineuronal net accumulation and neuroinflammation to levels comparable to younger animals, all while demonstrating a safe tolerability profile.
This study demonstrates that in noisy, recurrent models of the ventral visual stream, the hierarchical organization of neural representation timescales is determined by broad network architecture regardless of training, whereas intrinsic timescales depend on the specific functional details of each layer.
By analyzing retinal ganglion cell populations through low-rank Ising models, the study demonstrates that sensory codes achieve normative optimality along "stiff" directions tightly coupled to visual stimuli while accommodating substantial biological variability along "sloppy" directions, thereby reconciling efficient coding theories with observed neural diversity.
This study demonstrates that ketone body treatment mitigates systemic inflammation-induced brain energy disruption and prevents delirium-like cognitive deficits in aged mice by reversing hippocampal insulin resistance and restoring metabolic function without altering pro-inflammatory responses.
This study demonstrates that in *Xenopus* tadpoles, unilateral olfactory nerve injury triggers a rapid, dopamine-mediated compensatory mechanism that enhances contralateral synaptic output to maintain bilateral balance in the olfactory map, independent of inflammatory responses.
By integrating single-nucleus sequencing and high-resolution spatial transcriptomics of human lumbar spinal cord tissue, this study establishes a comprehensive molecular map defining 34 neuronal classes, revealing sex-specific glial differences, and characterizing the electrophysiological properties of dorsal horn neurons.
This paper presents a connectome-constrained Jansen-Rit framework that reliably infers local neural parameters and low-dimensional dynamical biomarkers from whole-brain activity, offering a biophysically grounded approach to understanding cortical gain control and ensemble stability relevant to disorders like schizophrenia.