AIMC Journal:
bioRxiv

Showing 471 to 480 of 4935 articles

Lognormal Neural Point Process Models for Interpretable Heartbeat Dynamics

bioRxiv Aug 18, 2026
Neural temporal point processes (NTPPs) are powerful tools for modeling sequences of timestamped events with statistical temporal structure. Density-based NTPPs, in particular, are an interesting opportunity to merge the universal function approximat...
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BCIJelly: An integrated ecosystem for brain-computer interface research

bioRxiv Aug 18, 2026
Brain-computer interface (BCI) research relies on multistage computational pipelines, but progress has been slowed by fragmented data formats, heterogeneous decoder implementations and hardware-specific deployment toolchains. Here, we introduce BCIJe...
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Pretraining Enhances Megabase-Scale Gene Expression Prediction with GeneUnet

bioRxiv Aug 18, 2026
Predicting gene expression from DNA sequence across diverse genomic tracks is essential for understanding gene regulation and interpreting non-coding variants. Existing supervised methods are limited to few species and fail to exploit conserved regul...
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The Movie After-Effect: widespread adaptation of human cortex following naturalistic sensory experience

bioRxiv Aug 18, 2026
Neural systems adapt to prolonged sensory input through mechanisms such as gain control or homeostatic plasticity to maintain stable operating ranges. However, this phenomenon has so far been documented under extreme, non-ecological stimuli targeting...
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Modality-chain reasoning enables multimodal protein modelling and design

bioRxiv Aug 18, 2026
Reasoning has emerged as a central capability of large language models, yet how it should be formulated for scientific foundation models remains unclear because scientific knowledge is distributed across interdependent, domain-specific representation...
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Proteoform Barcode: An Intuitive Visualization Framework for Top-Down Proteomics

bioRxiv Aug 18, 2026
Top-down proteomics (TDP) advances biomedical research by providing a birds-eye view of proteoforms in cells, tissues, and biofluids. Thousands of proteoforms can be characterized using well-established TDP technologies, and potential proteoform biom...
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Integration of proteomic data from cell lines and tumors

bioRxiv Aug 17, 2026
Cancer cell lines are widely used in preclinical research, yet the clinical translation of findings from cell lines remains limited. Identifying cell lines that best resemble patient tumors requires integration of molecular profiles across biological...
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Spatial second-order features predict glioma malignant transformation

bioRxiv Aug 17, 2026
Isocitrate dehydrogenase (IDH) mutant gliomas often transform from low to high grade aggressive tumors. The genetic and molecular drivers of this Malignant Transformation (MT) are poorly understood, and predicting whether a patient will undergo MT is...
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Machine Learning Prediction of Antimicrobial Response in Pleurotus ostreatus Extracts Cultivated on Cassava Peel: A Proof-of-Concept Study

bioRxiv Aug 17, 2026
Antimicrobial resistance has intensified the search for sustainable natural products with antimicrobial properties. Pleurotus ostreatus cultivated on lignocellulosic agro-wastes, including cassava peel, offers potential for bioactive-compound product...
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Applying drift diffusion models to rat gambling task data reveals divergent cognitive mechanisms underlying risky choice

bioRxiv Aug 17, 2026
The rat gambling task (rGT) has been widely used to investigate the neural mechanisms underlying risky choice and motor impulsivity. Here, rats sample between four options (P1-P4) that vary in the size and probability of reward and time-out penalties...
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