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.
Using genetic and behavioral studies in adult mice, this paper demonstrates that the deletion of primary cilia from hippocampal neurons does not impair neuronal excitability, synaptic plasticity, or hippocampal-dependent behaviors, challenging the prevailing view that these structures are essential signaling hubs in mature brain circuits.
By weakening inhibitory synapses onto ventral tegmental area dopamine neurons to attenuate reward-omission pauses, this study demonstrates that such pauses normally sustain behavioral persistence and that their removal accelerates extinction without impairing new learning.
This study demonstrates that selectively activating locus coeruleus projections to the dorsal hippocampus preferentially facilitates the updating of established spatial memories during reversal learning, rather than enhancing initial spatial acquisition, while also introducing a graph-based framework to quantify the evolution of navigation strategies.
The paper introduces **spectral-unmixing**, an open-source, modular Python package that standardizes and automates reproducible directed, bidirectional, and blind spectral unmixing workflows to effectively correct spectral bleed-through in multidimensional fluorescence microscopy stacks.
This study demonstrates that the geometric convergence of photoreceptor axes in fly compound eyes creates a distance-dependent neural response peak at a specific "personal space" range, suggesting that neural superposition functions analogously to a light-field camera focused on behaviorally relevant distances to enable depth perception.
This study utilized a multiverse EEG analysis of an immersive virtual reality Attention Network Test to demonstrate that location-response compatibility modulates target-locked lateralized neural activity associated with spatial selection and target-location coding (specifically the N2pc), rather than producing broad sensory, conflict-related, or response-referenced effects, despite showing no reliable behavioral differences.
The paper introduces SPOUT, an open-source, affordable hardware and software platform that integrates precise neural recording and optogenetic manipulation with flexible decision-making tasks to study the neural mechanisms of behavior in head-restrained mice.
EASI-PASS is a high-throughput pipeline that efficiently links functional imaging data with mRNA profiling by aligning live-cell activity to expanded, cleared tissue volumes, enabling the molecular characterization of thousands of functionally identified neurons with high recovery rates.
This paper presents a novel mathematical framework that rigorously defines and quantifies action potential thresholds and cellular excitability by analyzing the geometric concavity of membrane potential trajectories and identifying a critical inflection point manifold in phase space.
The BRAINCELL modelling platform advances the study of brain cell dynamics by integrating stochastic nanoscale morphological features with a dynamic extracellular environment to simulate realistic, task-specific interactions between neurons and glia.