AIMC Journal:
bioRxiv

Showing 2511 to 2520 of 4979 articles

A consensus spinal cord cell type atlas across mouse, macaque, and human

bioRxiv Feb 5, 2026
The spinal cord contains evolutionarily conserved cell types critical for motor function, sensory processing, and autonomic regulation, many of which are implicated in diverse neurological diseases and injuries. Yet the field lacks a comprehensive mo...
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The Evolutionary Structure of Acoustic Learnability: A Deep Learning Approach to Neotropical Birdsong

bioRxiv Feb 5, 2026
Passive Acoustic Monitoring offers a scalable solution for biodiversity assessment in the Neotropics, but classifying hundreds of sympatric species from complex soundscapes remains a major challenge. Here, we develop a deep learning framework for lar...
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Large mRNA language foundation modeling with NUWA for unified sequence perception and generation

bioRxiv Feb 4, 2026
The mRNA serves as a crucial bridge between DNA and proteins. Compared to DNA, mRNA sequences are much more concise and information-dense, which makes mRNA an ideal language through which to explore various biological principles. In this study, we pr...
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Single-cell Multiome Analysis of Chromatin State and Transcriptome in the Human Basal Ganglia

bioRxiv Feb 4, 2026
The basal ganglia play essential roles in motor control, emotion, learning and reward processing. Their dysfunction contributes to many neurological and psychiatric disorders. However, the gene regulatory programs defining basal ganglia cell-type ide...
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Influence of attention mechanisms on cerebellar and basal ganglia activity during vocal emotion decoding

bioRxiv Feb 4, 2026
Emotional prosody processing involves a widespread network of brain regions, but the specific roles of the cerebellum and basal ganglia in explicit and implicit tasks are not well known or understood. This study investigated how the cerebellum and ba...
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Large language models possess some ecologicalknowledge, but how much?

bioRxiv Feb 4, 2026
Large Language Models (LLMs) have shown remarkable capabilities in question answering across various domains, yet their effectiveness in ecological knowledge remains underexplored. Understanding their potential to recall and synthesize ecological inf...
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Multimodal Imaging-Based Targeting Approach for Network-Level Brain Stimulation

bioRxiv Feb 4, 2026
Background: Neural network effects of transcranial direct current stimulation (tDCS) are poorly understood. Here, we introduce an empirically informed, multimodal functional magnetic resonance imaging (fMRI) based framework suited for guiding stimula...
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Joint Modeling of Transcriptomic and Morphological Phenotypes for Generative Molecular Design

bioRxiv Feb 4, 2026
Motivation: Phenotypic drug discovery generates rich multi-modal biological data from transcriptomic and morphological measurements, yet translating complex cellular responses into molecular design remains a computational bottleneck. Existing generat...
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Ophiuchus-Ab: A Versatile Generative Foundation Model for Advanced Antibody-Based Immunotherapy

bioRxiv Feb 4, 2026
Antibodies exhibit extraordinary specificity and diversity in antigen recognition and have become a central class of therapeutics across a wide range of diseases. Despite this clinical success, antibody design remains fundamentally challenging. Antib...
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ExSEnt for explainable dementia detection: disentangling temporal and amplitude-driven complexity boosts EEG-based classification

bioRxiv Feb 4, 2026
Early detection of dementia enables timely intervention and better care planning. Electroencephalography, being accessible and noninvasive, offers a practical avenue for monitoring pathological alterations in neural activity. Classical biomarkers lik...
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