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.
By recording V1 neuronal activity in freely moving marmosets with head-mounted eye-tracking, this study reveals that natural gaze behaviors, specifically the interplay between gaze shifts and fixations, dynamically organize and modulate visual cortex responses in a manner tightly coupled to visual input.
This study utilizes advanced imaging and molecular techniques in the beetle *T. castaneum* to demonstrate that the transcription factor foxQ2II specifically marks distinct clusters of fast-acting, non-GABAergic interneurons, including dopaminergic neurons, within higher-order brain centers like the mushroom bodies and central complex.
This paper introduces the Spinotrode, a novel vertebral implant that enables stable, long-term single-unit recordings from the dorsal horns of freely moving mice, revealing distinct neural dynamics during natural behaviors and challenging previous findings derived from anesthetized subjects.
This paper introduces and validates a modular, cap-based OPM-MEG array that overcomes the cost, time, and accessibility limitations of custom scannercasts while maintaining high signal precision and enabling mobile, high-throughput neuroimaging for naturalistic and clinical studies.
By combining kinematics-informed deep contrastive learning with dynamical-systems modeling in two dual-EEG studies, the authors demonstrate that interpersonal coordination arises from the geometric and temporal alignment of low-dimensional neural manifolds that co-regulate flexible, attractor-like dynamics across interacting partners.
This paper proposes a noise-resilient, continuous rolling arena framework using a direct Multi-Armed Bandit algorithm to rapidly and automatically optimize Deep Brain Stimulation parameters for cognitive control by evaluating raw reaction times without intermediate state models, thereby reducing search timelines and improving contact selection accuracy for clinical application.
This paper introduces DualMyo, a multi-channel dual-stream Transformer architecture that leverages patch and rotary positional embeddings to decode fine motor handwriting from sEMG signals, achieving high cross-session accuracy through a lightweight fine-tuning strategy.
This paper introduces an interpretable deep learning framework (FC-CNN) that outperforms conventional regression methods in predicting brain states from frequency-resolved MEG functional connectivity, demonstrating that amplitude envelope correlation is a superior feature and that model weights can provide neurophysiological insights for biomarker discovery.
Using intracranial electrophysiology, this study reveals that human behavioral flexibility is supported by the gradual, task-dependent refinement of representational geometry within the ventral temporal cortex, which dynamically adapts to individuation, categorization, and conceptualization demands to predict trial-level performance.
This study demonstrates that the stability of CA3 autoassociative memory depends on a critical trade-off between recurrent connectivity and neuronal sparsity, where high connectivity is only viable when activity is sufficiently sparse to prevent runaway excitation, a condition naturally maintained by the dentate gyrus and modulated by adult neurogenesis.