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

Externalizing Polygenic Liability, Brain Imaging Phenotypes, and Adolescent Substance Use Initiations: A Multistage Association and Mediation Analysis in ABCD

Using data from the ABCD Study, this multistage analysis reveals that while externalizing polygenic liability robustly predicts earlier adolescent substance initiation through both direct genetic pathways and specific brain imaging phenotypes, the neurobiological mediation by baseline brain measures accounts for less than 2% of the total effect, indicating that direct genetic influences are the dominant mechanism.

Wei, M., Peng, Q.2026-04-12

🧠 neuroscience

The stability of thought: using experience sampling and brain imaging to determine the contextually bound nature of human cognition.

This study utilizes experience sampling and brain imaging to demonstrate that the stability of human thought is context-dependent rather than intrinsic to specific tasks, revealing that coordinated activity within the multiple-demand network supports stable, goal-focused cognition when deliberate attention is high and distraction is low.

Chitiz, L., Hardikar, S., Goodall-Halliwell, I., Wallace, R. S., Mulholland, B., Ketcheson, S., Mckeown, B., Milham, M. (…)2026-04-12

🧠 neuroscience

Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning

This paper proposes and validates a neural model demonstrating that self-directed learning in zebra finches can be bootstrapped by a local forebrain circuit that uses anti-Hebbian plasticity to predictively cancel memorized tutor songs, thereby generating internal error signals sufficient to guide reinforcement learning without external rewards.

Gong, Z., Duarte, F., Mooney, R., Pearson, J.2026-04-11

🧠 neuroscience

Representational magnitude as a geometric signature ofimage and word memorability

This paper demonstrates that representational magnitude, a geometric property of distributed feature representations in both neural and artificial systems, serves as a general predictor of memorability across visual and lexical domains, suggesting that memory strength is inherent to the intensity and breadth of stimulus encoding.

Vogelsang, D. A., Heilbron, M.2026-04-11

🧠 neuroscience

Differential locus coeruleus-hippocampus interactions during offline states

Using multi-site electrophysiology in freely behaving rats, this study reveals that locus coeruleus activity exhibits state-dependent, inverse dynamics with hippocampal ripples, decreasing prior to ripple onset to suggest a critical role for the LC-NE system in coordinating cortical-subcortical networks for systems-level memory consolidation.

Yang, M., Eschenko, O.2026-04-11

🧠 neuroscience

Sleep-modulated disinhibition enables replay for memory consolidation, accelerated by ripples

This study presents a biophysically detailed model demonstrating that sleep-modulated disinhibition drives both synaptic and systems memory consolidation by enabling spontaneous, time-compressed replay of spatial sequences, a process accelerated by ripples but capable of sustaining memory transfer even when ripples are absent.

Dutta, S.2026-04-11

🧠 neuroscience

Dynamic thermodynamic-informational entropic relationship (TIER) models of selective vulnerability to neurodegeneration

This study proposes that selective vulnerability in neurodegenerative diseases arises from evolutionary trade-offs where high-computational brain regions accumulate thermodynamic entropy proportional to their workload, leading to structural failure and dynamic instability.

Pressman, P. S., Basaran, C., Foltz, P., Au-Yeung, W.-T., Steele, J., Silbert, L., Hunter, L. E.2026-04-11

🧠 neuroscience

Designer indicators for two-photon recording of subthreshold voltage dynamics

The authors developed and validated two novel genetically encoded voltage indicators, JEDI3sub and JEDI3hyp, which overcome previous sensitivity limitations to enable high-resolution, two-photon recording of millivolt-scale subthreshold voltage dynamics across diverse neuronal structures in awake, behaving mice.

Land, M. A., Galdamez, M., Villette, V., Zhu, J., Lu, X., Marosi, M., Yang, S., McDonald, A. J., Dong, X., Zaabout, E. (…)2026-04-11

🧠 neuroscience

Whole-organism spatial transcriptomics at single-cell resolution in C. elegans

This paper presents a scalable single-molecule fluorescence in situ hybridization workflow that achieves whole-organism spatial transcriptomics at single-cell resolution in *C. elegans*, enabling the multiplexed profiling of up to 40 genes to identify neuronal classes and reveal sex- and neuron-specific expression patterns.

Aguirre Aguilera, J. D., Wan, X., Tischbirek, C. H., Park, C. F., Cai, L., Sternberg, P. W.2026-04-11

🧠 neuroscience

Memory reactivation during sleep promotes structure abstraction

This study provides the first direct evidence that targeted memory reactivation during sleep facilitates the abstraction of structural knowledge from superficial features, thereby enabling the transfer of learned patterns to new contexts with entirely different features.

Solomon, S. H., Krishnamurthy, S., Siefert, E. M., Gonciulea, C. M., Schapiro, A. C.2026-04-11

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