🧠 Category

neuroscience

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.

🧠 neuroscience

In silico optimization of deep brain stimulation to enhance cognitive control: Improving performance and practicality with a continuous rolling arena

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.

Nagrale, S. S., Widge, A. S.2026-08-24
🧠 neuroscience

Interpretable Decoding of Frequency-Resolved Functional Connectivity

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.

Saarro, E., Ruuskanen, S., Caivano, C. M., Parkkonen, L., Zubarev, I.2026-08-24
🧠 neuroscience

Multiple task-demands flexibly optimize neural geometry in human ventral temporal cortex

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.

Nigam, T., Campos-Perez, A. F., Megevand, P., Vidal, J., Perrone-Bertolotti, M., Kahane, P., Thesen, T., Devinsky, O., M (…)2026-08-23
🧠 neuroscience

CA3 sparsity stabilises high-connectivity recurrent autoassociation: complementary binary and spiking computational modes in a DG->CA3 model

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.

Kamijo, T. C., Nakajima, N., Aihara, T.2026-08-23
🧠 neuroscience

EEG Microstate Sequences as Potential Brain-Computer Interface Triggers Derived from Motor Imagery Classification

This study demonstrates that a semi-supervised deep learning model utilizing EEG microstate sequences, combined with transfer learning, can effectively classify motor imagery tasks to achieve high accuracy with reduced calibration time, offering a promising pathway for user-convenient and calibration-free Brain-Computer Interfaces.

Wollmann, A., Goldhacker, M.2026-08-23
🧠 neuroscience

Intracranial Validation of Magnetoencephalography Across Oscillatory Frequency and Depth

By validating source-localized magnetoencephalography against concurrent intracranial EEG in epileptic patients, this study demonstrates that MEG accurately captures spontaneous oscillatory dynamics across various frequencies and depths, including deep subcortical structures like the hippocampus, thereby confirming its utility for studying human cognition in health and disease.

Gohil, C., O'Neill, G., Barnes, G., Litvak, V., Woolrich, M., Zhan, S., Liu, W., Sun, B., Cao, C., Bush, D., Vivekananda (…)2026-08-23
🧠 neuroscience

Spatiotemporal Dissociation of Human Amygdala Response to Negative Affect

Using finite impulse response modeling on large-scale fMRI data, this study reveals that human amygdala subregions exhibit distinct spatiotemporal dynamics during negative affect, with laterobasal and superficial areas peaking early while the centromedial region shows sustained activation, whereas instructed cognitive reappraisal failed to significantly alter these response patterns.

Bo, K., Lindquist, M., Gianaros, P. J., Wager, T.2026-08-23