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

Enhanced Ba2+-sensitive inward rectifying potassium conductance reduces intrinsic excitability of layer 2/3 pyramidal neurons in the primary auditory cortex of Fmr1 knockout mice

This study demonstrates that enhanced Ba2+-sensitive inwardly rectifying potassium conductance underlies the reduced intrinsic excitability of layer 2/3 pyramidal neurons in the primary auditory cortex of Fmr1 knockout mice, suggesting a compensatory homeostatic mechanism that stabilizes neuronal output despite elevated excitatory drive.

Moreno, C., Riquelme, D., Cea-del Rio, C., Leiva-Salcedo, E.2026-02-04

🧠 neuroscience

High-frequency axonal bursts mediate bidirectional modulation of dopamine signaling by nicotinic receptors

This study reveals that nicotinic acetylcholine receptors bidirectionally modulate striatal dopamine transmission by enhancing axonal excitability under moderate stimulation while triggering high-frequency bursts that induce refractory periods and suppress release during strong stimulation, effectively acting as a low-pass filter.

Kramer, P. F., Yanez, A., Clever, F., Zhang, R., Khaliq, Z. M.2026-02-03

🧠 neuroscience

Integrating Functional Transdiagnostic Dimensions of Psychopathology with Cortical Organization

This study utilizes a transdiagnostic approach to demonstrate that a latent variable linking resting-state functional connectivity to neurodevelopmental psychopathology in children and adolescents transcends traditional diagnostic boundaries, aligning with specific cortical hierarchies, gene expression, and myelination patterns to predict symptom severity and longitudinal outcomes.

Monaghan, A., Misic, B., Shafiei, G., Tsvetanov, K. A., Astle, D. E., Bethlehem, R. A. I., the CALM Team,2026-02-03

🧠 neuroscience

Cerebellar circuits anticipate dopamine rewards

This study demonstrates that cerebellar circuits actively participate in reward learning by using granule cells to predictively encode the timing of dopamine rewards and climbing fibers to signal reward delivery, thereby driving motivated behavior through both anticipatory and instructive mechanisms.

Filio, B. A., Otchere, A., Srinivasan, S., Thota, S., Drake, L., Ramos, L., Maurus, P., Wagner, M. J.2026-02-03

🧠 neuroscience

A day sleep promoting role of phototransduction in Drosophila melanogaster

This study demonstrates that visual input through the phototransduction pathway plays a key role in promoting sleep in *Drosophila melanogaster*, as evidenced by consistent day sleep fragmentation in flies with mutations in phototransduction components.

Hung, Y.-C., Akhtar, M., Sattoju, N., Li, X., Head, S., Ollerenshaw, T., Siefer-Gaillardin, C., Arulchelvan, J., Warren (…)2026-02-02

🧠 neuroscience

Protein aggregation inhibitors induce divergent transcriptional responses in a cellular model of a-synuclein seeded aggregation

This study utilizes a scalable cellular seeding assay coupled with single-cell RNA sequencing to demonstrate that three alpha-synuclein aggregation inhibitors (Minzasolmin, Emrusolmin, and EGCG) induce divergent transcriptional responses, particularly in lipid metabolism and rRNA processing, while partially reversing aggregation-related gene expression changes in a Parkinson's disease model.

Van Minsel, P., Van den Haute, C., Vonck, E., Hentati, S., Curcio, M., Song, X., Yu, Q., Versele, M., Young, K. W., Chal (…)2026-02-02

🧠 neuroscience

Bicarbonate Efflux induces GABAergic Excitation and Seizures through pH Regulation

This study utilizes a computational model to demonstrate that GABA-induced bicarbonate efflux triggers seizures by causing intracellular acidification and charge accumulation, a process that can be counteracted by active pH-regulating transporters, thereby revealing a novel pH-dependent mechanism for epileptic excitability.

Liu, Z., Li, Y.2026-02-02

🧠 neuroscience

4-Methylumbelliferone Restores Age-Related Changes in Perineuronal Nets, Memory and Neuroinflammation

Long-term oral administration of 4-methylumbelliferone (4-MU) in aged mice effectively restores age-related cognitive decline by reducing perineuronal net accumulation and neuroinflammation to levels comparable to younger animals, all while demonstrating a safe tolerability profile.

Cimpean, A., Dubisova, J., Martinez Varea, N., Machova Urdzikova, L., Fawcett, J. W., Jendelova, P., Kwok, J. C. F.2026-02-02

🧠 neuroscience

Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales

This study demonstrates that in noisy, recurrent models of the ventral visual stream, the hierarchical organization of neural representation timescales is determined by broad network architecture regardless of training, whereas intrinsic timescales depend on the specific functional details of each layer.

Varetti, S., Goldt, S., Piasini, E.2026-02-02

🧠 neuroscience

Optimality with room to vary: stiff and sloppy modes in a sensory population

By analyzing retinal ganglion cell populations through low-rank Ising models, the study demonstrates that sensory codes achieve normative optimality along "stiff" directions tightly coupled to visual stimuli while accommodating substantial biological variability along "sloppy" directions, thereby reconciling efficient coding theories with observed neural diversity.

Bojanek, K., Marre, O., Palmer, S.2026-02-02

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