bioRxiv

Showing 4701 to 4710 of 5021 articles

A theory of multi-task computation and task selection

bioRxiv Jan 1, 2025
Neural activity during the performance of a stereotyped behavioral task is often described as low-dimensional, occupying only a limited region in the space of all firing-rate patterns. This region has been referred to as the “neural manifold” associa...
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Uncovering the Genomic Manifold via Scalable Learning from the Global Microbiome

bioRxiv Jan 1, 2025
Functional genomic sequences occupy an infinitesimal fraction of the astronomically large DNA sequence space, implying that evolution explores a low-dimensional manifold shaped by universal biochemical and evolutionary constraints. To investigate thi...
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Reinforcement learning enhances training efficiency in high-performance athletes

bioRxiv Jan 1, 2025
Skilled athletes need powerful movement strategies to solve tasks effectively. Typically, athletes learn these strategies with instruction-based teaching methods where coaches offer athletes a correct solution. Inspired by recent evidence from decisi...
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SPARK: deciphering tumor-specific signaling networks through an integrative predictive model

bioRxiv Jan 1, 2025
While kinase-substrate associations (KSAs) are fundamental to cancer signaling, their rewiring patterns and functional roles across different cancers during cancer progression remain generally poorly characterized. Current predictive tools often fail...
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Cryogenic 3D electron microscopy captures whole plant cell native ultrastructure

bioRxiv Jan 1, 2025
Volume electron microscopy (vEM) provides nanometer-scale, 3D imaging of cells, but applying it to plant cells has been constrained by rigid cell walls and the need for harsh chemical fixation and staining. Here we report a cryogenic vEM (cryo-vEM) w...
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A Machine Learning–3D Microvessel Platform Identifies Kinase Targets Restoring Blood-Brain-Barrier Endothelial Integrity

bioRxiv Jan 1, 2025
Disruption of the brain endothelial barrier is a hallmark of traumatic brain injury (TBI), and contributes to cerebral edema, coagulopathy, and delayed neurological deficits, yet there are no mechanism-guided therapies that directly stabilize human b...
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Network Rerouting Under Ayahuasca: Temporally and Hemisphere-Resolved EEG Connectomics

bioRxiv Jan 1, 2025
Ayahuasca profoundly alters conscious experience, yet robust, time-resolved EEG markers of its network-level effects remain limited. We combined machine learning with complex-network analysis to quantify how functional connectivity reorganizes across...
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A Structure-Aware Generative AI Framework for Revealing Functional Relationships in Proteins Families

bioRxiv Jan 1, 2025
The rapid expansion of protein sequence databases has far outpaced experimental structure determination, leaving many unannotated sequences, particularly the more remote homologs with low sequence identity. Because protein folds are more conserved an...
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Integration of artificial intelligence and high-content screening enabled identification of drugs for long-term treatment of cerebral cavernous malformation disease

bioRxiv Jan 1, 2025
Adults and children with cerebral cavernous malformations (CCMs) are at risk of experiencing lifelong complications such as hemorrhagic strokes, neurological deficits, and epileptic seizures. These complications can severely reduce quality of life. A...
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Prediction of transformative breakthroughs in biomedical research

bioRxiv Jan 1, 2025
The ability to predict scientific breakthroughs at scale would accelerate the pace of discovery and improve the efficiency of research investments. Recent advances in artificial intelligence, graph theory, and computing power have provided new ways t...
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