AIMC Journal:
bioRxiv

Showing 2301 to 2310 of 4979 articles

THERM-D Uncovers Distinct Neural Mechanisms Separating Morning and Evening Body Temperature Rhythms in Drosophila

bioRxiv Feb 20, 2026
Animal body temperature rises throughout the day and peaks in the evening, a pattern conserved across diurnal endotherms and ectotherms. However, the mechanisms driving the robust body temperature rhythms (BTR) remain largely unclear. Here, we develo...
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Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

bioRxiv Feb 20, 2026
Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet integrating datasets from diverse sources remains challenging due to batch effects. Current methods rely on implicit feature disentanglement and and la...
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A ventral tegmental area GABAergic projection to the ventral pallidum regulates value-based decision making in mice

bioRxiv Feb 20, 2026
Activity of the mesolimbic system is essential for adaptive performance of reward-related behaviors. Within this system, dopaminergic (DAergic) neurons play a critical role in driving motivation to obtain rewards and encoding predictions and error si...
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Resting-state Compensatory Remapping in Patients with Brain Tumour Before and After Surgery

bioRxiv Feb 20, 2026
Brain tumours invade neural tissue, disrupting the functional organisation of neural networks. This disruption can trigger compensatory neuroplastic mechanisms that help preserve cognitive function despite pathological burden. Resting-state functiona...
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When Experience Leaves a Trace: Consolidation-Dependent Persistence in Artificial Agents

bioRxiv Feb 20, 2026
Across minimal neural networks and small transformer models, we demonstrate that experience ordering alone can produce durable, irreversible behavioral divergence in artificial agents - but only when learning is consolidated into internal parameters ...
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Rational design of synthetic proteins using a genome-scale CRISPR screen

bioRxiv Feb 20, 2026
Protein structure prediction using deep learning has revolutionized protein design. Yet, our understanding of protein function remains a key limitation for designing novel proteins that perform complex biological tasks. Here, we adopt a massively-par...
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Cholinergic--dopaminergic interplay underlies prediction error broadcasting

bioRxiv Feb 20, 2026
Neuromodulatory systems, notably basal forebrain cholinergic and midbrain dopaminergic pathways, critically influence reinforcement learning (Schultz et al., 1997; Doya, 2002; Yu and Dayan, 2005). However, whether and how they cooperate or compete to...
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A New Sparse Bayesian Quantile Neural Network-based Approach and Its Application to Discover Physiological Sweet Spots in the Canadian Longitudinal Study on Aging

bioRxiv Feb 20, 2026
Identifying physiological sweet spots (optimal ranges for homeostasis) is essential for precision medicine. However, traditional statistical methods often rely on globally linear or locally jagged models that struggle to capture the smooth, non-linea...
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Discovering macroscale functional organization on the structure of brain-like recurrent neural networks

bioRxiv Feb 20, 2026
Understanding function from structure is a central topic in both neurobiology and artificial intelligence. In the human brain, macroscale functional organization, including functional parcellations, modules, and hierarchies, has been systematically l...
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Spatial multi-omics identify an immunosuppressive lipid-laden macrophage niche in primary CNS lymphoma

bioRxiv Feb 20, 2026
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL) with confined CNS growth. We evaluated tumor microenvironment (TME) features associated with its unique tropism. Comparative spatial transcriptomic ...
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