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

Broad generalisation of the ventriloquism aftereffect across sound frequencies

This study demonstrates that the ventriloquism aftereffect generalizes across a wide range of sound frequencies following exposure to a consistent audiovisual offset, suggesting that the underlying neural adaptation occurs at a frequency-independent, high-level multisensory spatial stage rather than at early, frequency-specific auditory processing levels.

Ege, R., Haukes, N. C., van Opstal, A. J., van Wanrooij, M. M.2026-01-28
🧠 neuroscience

Heterogeneity in neural network engagement supports individual differences in top-down attention

By combining MEG and pupillometry in older adults, this study demonstrates that individual differences in top-down attention arise from heterogeneous neural network configurations shaped by sensory processing and strategic resource allocation, highlighting the necessity of moving beyond group averages to understand attentional control.

Holmes, E., Friston, K. J., Griffiths, T. D.2026-01-28
🧠 neuroscience

The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset

This paper introduces an open-source, isotropic 7.72 {micro}m/voxel post-mortem human brain dataset acquired via Hierarchical Phase-Contrast Tomography at the ESRF, which bridges the resolution gap between MRI and histology to enable detailed 3D visualization and quantitative analysis of complex neuroanatomy.

Chourrout, M., Keenlyside, A., Wanjau, E., Balbastre, Y., Yagis, E., Brunet, J., Stansby, D., Engel, K., Gui, X., Thoenn (…)2026-01-28
🧠 neuroscience

Subthreshold Kir and Ih currents modulate excitability of Layer 1 VIP interneurons in the medial prefrontal cortex

This study demonstrates that constitutively active subthreshold Ih and Kir currents jointly regulate the passive properties, intrinsic excitability, and EPSP-spike coupling of medial prefrontal cortex Layer 1 VIP interneurons, thereby shaping their ability to filter signals and modulate information flow within the cortical column.

Moreno, C., Riquelme, D., Cornejo, C., Leyton, P., Leiva-Salcedo, E.2026-01-28
🧠 neuroscience

A Key Regulator of Dendritic Morphology in Supragranular Neocortex Impacts Mismatch Negativity

This study demonstrates that a missense mutation in *Kalrn* causes adolescent-onset dendritic regression specifically in supragranular layers of the visual cortex, leading to impaired mismatch negativity and reduced functional connectivity, thereby linking cytoskeletal alterations to psychiatric-relevant sensory integration deficits.

Rader Groves, A. M., Gallimore, C. G., Sutton, V. J., Ross, J. M., Sweet, R., Grubisha, M. J., Hamm, J. P.2026-01-28
🧠 neuroscience

Visual Word Form Area demonstrates individual and task-agnostic consistency but inter-individual variability

This study demonstrates that while the Visual Word Form Area (VWFA) exhibits consistent, task-agnostic localization and text-selectivity within individual brains across both children and adults, significant inter-individual variability in the precise arrangement of category-selective regions obscures these responses when data are averaged in template space.

Mitchell, J. L., Jimenez, M., Stone, H. L., Yablonski, M., Yeatman, J. D.2026-01-27