AIMC Journal:
bioRxiv

Showing 1 to 10 of 4918 articles

A transient third metal ion shapes the catalytic cycle of a group I intron ribozyme

bioRxiv
The self-splicing group I intron ribozyme from Tetrahymena thermophillia (THr) is a prototypical example of how RNA overcomes its limited chemical repertoire to form complex, negatively charged junctions and catalyze chemical reactions. Despite over ...

A deep learning-generated hASIC1a miniprotein inhibitor confers neuroprotection in stroke

bioRxiv
Ion channels remain notoriously recalcitrant drug targets despite their extensive pathophysiological significance. Acid-sensing ion channels (ASICs) are proton-gated cation channels that cause neuronal death when excessively activated, such as during...
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VINTER: a generative vision-language model for annotating and interrogating spatial tissues

bioRxiv
Spatial transcriptomics links gene expression to tissue structure, yet current models learn embeddings whose meaning is assigned afterwards or read histology without measured expression. Tissue decisions are therefore rarely made from morphology, gen...

Unsupervised Clustering Enables Cohort-Specific Variant Recalibration in Crops

bioRxiv
Genomic selection (GS) and trait discovery in crops require reliable marker datasets, yet variant discovery remains constrained by the lack of standardised, high-confidence reference resources. Publicly available plant genomic resources are often bas...

Neuropeptide NLP-40 and Cognate G- Protein Coupled Receptor AEX-2 Regulate Behavioral Responses During Anoxia in Caenorhabditis elegans

bioRxiv
Background: Insufficient oxygen (hypoxia) or complete lack of oxygen (anoxia) causes cellular dysfunction and death in terrestrial animals. As a result, animals have developed homeostatic strategies, including changes in movement strategies to escape...

Neural latent representation of implicit perceptual decision confidence signatures from brain-wide intracranial EEG

bioRxiv
Human perceptual decision confidence has been associated with brain-wide signalling, albeit with inconsistencies across studies. It remains unclear whether more robust neural latent representations exist, particularly for implicit confidence. We addr...

Quantifying performance inflation from hidden sample dependence in biomedical image classification benchmarks

bioRxiv
Machine learning benchmarks often treat image files as independent observations, although multiple files may represent repeated views or other related samples. Prior work has shown that non-independent partitioning can inflate model performance, but ...

Neuropathic pain drives time-dependent reorganization of naturalistic movement and corticostriatal circuits

bioRxiv
Chronic pain fundamentally alters sensorimotor behavior and naturalistic movement, leading to debilitating changes in quality of life. While human neuroimaging studies suggest that chronic pain leads to functional changes in the dorsal striatum (DStr...

Designing stimuli for non-invasive, cell-type-specific manipulation of retinal ganglion cell activity

bioRxiv
The retina encodes visual information through parallel pathways formed by distinct retinal ganglion (RGC) types. Current understanding of how each cell type contributes to downstream visual processing and perception is limited by a lack of tools for ...

Distilling Trial-Level EEG Variability into Participant Representations: Neurophysiologically Constrained Graph Learning in ADHD

bioRxiv
Extracting stable individual-level representations from noisy and variable trial-wise EEG remains a major challenge in computational cognitive neuroscience. We developed a spatiotemporal graph attention network to analyze Go/NoGo EEG from children an...