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.

🧠 neuroscience

Long-Range Input to Cortical Microcircuits Shapes EEG-BOLD Correlation

This study employs a comprehensive mathematical model of cortical microcircuits to demonstrate that long-range input variability modulates EEG rhythms and shapes the observed negative alpha-BOLD and positive gamma-BOLD correlations, thereby providing a theoretical framework for understanding the mechanisms linking EEG and BOLD signals.

Chien, V. S. C., Jiricek, S., Knoesche, T. R., Hlinka, J., Schmidt, H.2026-01-15
🧠 neuroscience

Inhibitory columnar feedback neurons are involved in motion processing in Drosophila

This study reveals that GABAergic inhibitory feedback neurons C2 and C3 play a critical role in Drosophila motion processing by suppressing non-preferred stimuli in T4 and T5 direction-selective cells, thereby sharpening temporal responses and enhancing the fly's ability to discriminate rapid visual sequences.

Henning, M., Ketkar, M. D., Luffe, T., Gohl, D. M., Clandinin, T. R., Silies, M.2026-01-15
🧠 neuroscience

Dynamical Diversity in Conductance-Based Neuron Response to kilohertz Electrical Stimulation

This paper investigates the diverse dynamical responses of conductance-based neuron models to kilohertz electrical stimulation, revealing phenomena ranging from chaotic behavior to activity suppression, while cautioning against simplified sodium dynamics and proposing a systematic mapping method to characterize these effects across various neuronal models.

Polli, J. G., Kolbl, F., Lanusse, P., da Luz, M. G. E.2026-01-15