AIMC Journal:
bioRxiv

Showing 3011 to 3020 of 4993 articles

Early Target Prediction in Action Observation

bioRxiv
Previous research has established that observers can predict action targets through hand preshaping. However, two critical questions remain unexplored: how predictions adapt to the available kinematic information and evolve throughout the movement ti...

AI-qualizing Science

bioRxiv
Scientific discovery remains highly concentrated among elite universities due to unequal access to infrastructure, expertise, and collaboration networks. We investigate whether artificial intelligence can mitigate these disparities by studying AlphaF...

Where is the melody? Spontaneous attention orchestrates melody formation during polyphonic music listening

bioRxiv
Humans seamlessly process multi-voice music into a coherent perceptual whole. Yet the neural strategies supporting this experience remain unclear. One fundamental component of this process is the formation of melody, a core structural element of musi...

Circuit inhibition promotes the dynamic reorganization of prefrontal task encoding to support cognitive flexibility

bioRxiv
The mammalian prefrontal cortex encodes variables related to goal-directed behavior, and enables flexibility during environmental changes, making it critical to understand how the dynamic updating vs. stable maintenance of different encodings contrib...

CIAdex: Single-Cell FTIR Spectral Fingerprinting for Cell Identity Verification and Aging Quantification in Therapeutic Cell Manufacturing

bioRxiv
Ensuring the identity and optimal aging state of cell products is critical for the efficacy and safety of cell therapies. Despite rapid iterations, there remains an urgent need for robust and easy-to-implement tests to characterize cell products. Her...

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

bioRxiv
Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understanding their pathogenic mechanisms and guiding antimicrobial strategies. However, existing studies often directly rely on the outputs of protein language...

CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignancies

bioRxiv
Cancer subtype classification is critical for precision therapy and there is a growing trend of augmenting histopathology testing procedures with omics-based machine learning classifiers. However, analytical challenges remain for pediatric cancer on ...

Accelerating Insight Discovery in Large Biomedical Text with Scalable Processing Framework

bioRxiv
Large language models are increasingly being used by dermatology professionals to support diagnostic investigation, patient education, and medical research. While these models can help manage information overload and improve efficiency, concerns pers...

Reverse Predictivity: Going Beyond One-Way Mapping to Compare Artificial Neural Network Models and Brains

bioRxiv
A major goal in systems neuroscience is to build computational models that capture the primate brain’s internal representations. Standard evaluations of artificial neural networks (ANNs) emphasize forward predictivity—how well model features predict ...

The eyelid and pupil dynamics underlying stress levels in awake mice

bioRxiv
Stress is a natural response of the body to perceived threats, and it can have both positive and negative effects on brain hemodynamics. Stress-induced changes in pupil and eyelid size/shape have been used as a biomarker in several fMRI studies. Howe...