neuroscience papers | Gist.Science

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

Longitudinal quantitative streamline tractography: robust estimation of white matter connectivity differences

To overcome the issue of spurious longitudinal changes caused by varying streamline trajectories, this paper introduces a novel quantitative streamline tractography framework that keeps individual trajectories fixed while allowing only their density weights to vary, thereby enhancing the sensitivity and robustness of detecting true biological differences in white matter connectivity.

Pruckner, P., Mito, R., Vaughan, D. N., Schilling, K. G., Morgan, V. L., Englot, D. J., Smith, R. E.2026-02-12

🧠 neuroscience

LLM-Evolved Regularization Schedules Prevent Posterior Collapse in Latent Factor Analysis via Dynamical Systems

This paper demonstrates that LLM-based program evolution can discover adaptive regularization schedules for Latent Factor Analysis via Dynamical Systems (LFADS) that prevent posterior collapse more efficiently than traditional population-based training methods.

Knight, J.2026-02-12

🧠 neuroscience

Invisible flashes bias spatial coding in the auditory system

This study demonstrates that invisible visual flashes can bias the perception of sound location even without conscious awareness, suggesting that sensory integration occurs at a neural level before information reaches subjective consciousness.

Delong, P., Pleche, C., Noppeney, U.2026-02-12

🧠 neuroscience

The variability of reflex amplitude estimates in motor unit pools depends on the phenotype distribution and discharge statistics

This study demonstrates that the variability in motor unit reflex amplitude estimates is driven by complex interactions between intrinsic motor neuron properties and extrinsic factors like muscle force, suggesting that PSF-based estimation is a more reliable method for capturing motor neuron heterogeneity than PSTH-based methods.

Schmid, L., Klotz, T., Röhrle, O., Thompson, C. K., Negro, F., Yavuz, U. S.2026-02-12

🧠 neuroscience

What and where manifolds emerge and align with perception in deep neural network models of sound localization

By analyzing deep neural network models, this study demonstrates that "what" and "where" representations form geometrically organized manifolds that align with human perception, revealing that task-irrelevant object attributes are learned alongside spatial information and that the emergence of a spatial map can actually reduce localization accuracy.

Chen, C., Yang, Z., Wang, X.2026-02-12

🧠 neuroscience

Basal forebrain and neural correlates of self-regulation traits in sustained attention

This study found that higher levels of self-regulation are associated with increased activity in the cholinergic substrates of the basal forebrain, suggesting that this system plays a key role in sustaining attention.

Orsini, C., Huber, D. A., Labek, K., Bosch, J. E., Viviani, R.2026-02-11

🧠 neuroscience

Numerical Variability of functional MRI Graph Measures

This study systematically evaluates the numerical variability of fMRI-derived graph measures using the fMRIPrep pipeline, finding that while variability is measurable and influenced by processing choices, it typically remains lower than population-level differences.

Alizadeh, M., Chatelain, Y., Kiar, G., Glatard, T.2026-02-11

🧠 neuroscience

Microglial reactivity in the hippocampal CA2 is associated with advanced neuronal α-synucleinopathy

This study demonstrates that microglial reactivity (specifically HLA-DR and CD68) in the hippocampal CA2 subfield is specifically associated with neuronal $\alpha$ -synuclein pathology and correlates with disease spread and cognitive impairment in Lewy body disease.

Luna, E., Cousins, K. A. Q., Emrani, S., Xie, S. X., Trotman, W., Weintraub, D., Chen-Plotkin, A. S., Lee, E. B., Irwin (…)2026-02-11

🧠 neuroscience

Anterior cingulate cortex projections to the amygdala in primates: topographic and layer-specific organization underlying emotion and mood regulation

Using viral tracing in macaques, this study maps the topographic and layer-specific projections from the anterior cingulate cortex to the basal and accessory basal nuclei of the amygdala, providing an anatomical framework for understanding emotion regulation and mood disorders.

Kimura, K., Yoshino, R., Soga, Y., Zheng, A., Nonomura, S., Yan, G., Tanabe, S., Nakamura, S., Ohara, S., Inoue, K.-i. (…)2026-02-11

🧠 neuroscience

Limits of optimal decoding under synaptic coarse-tuning

This paper demonstrates that while optimized linear decoders typically outperform naive population averaging, the presence of synaptic coarse-tuning—consistent with observed biological volatility—limits the performance of optimal decoders such that they saturate and become qualitatively similar to naive decoders, suggesting that neural computation may rely on a robust, low-dimensional manifold.

Hendler, O., Segev, R., Shamir, M.2026-02-11

← Previous Next →